{"id":39,"date":"2026-10-15T22:06:17","date_gmt":"2026-10-15T22:06:17","guid":{"rendered":"https:\/\/camcis.org\/?page_id=39"},"modified":"2026-10-15T22:06:17","modified_gmt":"2026-10-15T22:06:17","slug":"ai-ml-methods-in-healthcare","status":"publish","type":"page","link":"https:\/\/camcis.org\/index.php\/ai-ml-methods-in-healthcare\/","title":{"rendered":"AI &amp; ML Methods in Healthcare"},"content":{"rendered":"<style id=\"sp_tab_dynamic_style38\">#sp-tabpro-wrapper_38.sp-tab__lay-default .sp-tab__tab-content {width: 100%;}#sp-tabpro-wrapper_38 .animated {-webkit-animation-duration: 500ms;animation-duration: 500ms;}#sp-wp-tabs-wrapper_38 .sp-tab__nav { justify-content: flex-start; }#sp-wp-tabs-wrapper_38.sp-tab__lay-default.sp-tab__horizontal-bottom {display: flex;flex-direction: column-reverse;}#sp-wp-tabs-wrapper_38.sp-tab__lay-default.sp-tab__horizontal-bottom > ul {border-top: 1px solid #cccccc;border-bottom: 0;margin-top: 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.sp-tab__tab-pane,#sp-wp-tabs-wrapper_38.sp-tab__lay-default > .sp-tab__tab-content .sp-tab__tab-pane p {font-weight: 400;font-style: normal;font-size: 16px;line-height: 24px;letter-spacing: 0px;color: #444;}#sp-wp-tabs-wrapper_38.sp-tab__lay-default > .sp-tab__tab-content .sp-tab__tab-pane ul li a, #sp-wp-tabs-wrapper_38.sp-tab__lay-default .sp-tab__tab-content .sp-tab__tab-pane ol li a {color: #444;}<\/style>\t<h2 class=\"sp-tab__section_title_38\"> <\/h2>\n\t\t\t<div id=\"sp-wp-tabs-wrapper_38\" class=\"sp-tab__lay-default\" data-preloader=\"1\" data-activemode=\"tabs-activator-event-click\" data-anchor_linking=\"1\">\n\t\t\t<div class=\"sp-tab__preloader\">\n\t\t<div class=\"sp-tab__spinner\">\n\t\t\t<div class=\"rect1\"><\/div>\n\t\t\t<div class=\"rect2\"><\/div>\n\t\t\t<div class=\"rect3\"><\/div>\n\t\t\t<div class=\"rect4\"><\/div>\n\t\t\t<div class=\"rect5\"><\/div>\n\t\t<\/div>\n\t<\/div>\n\t<ul class=\"sp-tab__nav sp-tab__nav-tabs\" id=\"sp-tab__ul\" role=\"tablist\">\n\t\t\t\t<li class=\"sp-tab__nav-item\" role=\"presentation\">\n\t\t\t\t<span class=\"sp-tab__nav-link sp-tab__active\" data-sptoggle=\"tab\" for=\"#tab-381\" role=\"tab\" aria-controls=tab-381 aria-selected=true tabindex=0>\n\t\t\t\t\t<span class=\"tab_title_area\"><H4 class=\"sp-tab__tab_title\">Syllabus Overview<\/H4><\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t\t\t\t<li class=\"sp-tab__nav-item\" role=\"presentation\">\n\t\t\t\t<span class=\"sp-tab__nav-link\" data-sptoggle=\"tab\" for=\"#tab-382\" role=\"tab\" aria-controls=tab-382 aria-selected=true tabindex=0>\n\t\t\t\t\t<span class=\"tab_title_area\"><H4 class=\"sp-tab__tab_title\">Weekly Class Schedule<\/H4><\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t\t\t\t<li class=\"sp-tab__nav-item\" role=\"presentation\">\n\t\t\t\t<span class=\"sp-tab__nav-link\" data-sptoggle=\"tab\" for=\"#tab-383\" role=\"tab\" aria-controls=tab-383 aria-selected=true tabindex=0>\n\t\t\t\t\t<span class=\"tab_title_area\"><H4 class=\"sp-tab__tab_title\">SQLite<\/H4><\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t\t\t\t<li class=\"sp-tab__nav-item\" role=\"presentation\">\n\t\t\t\t<span class=\"sp-tab__nav-link\" data-sptoggle=\"tab\" for=\"#tab-384\" role=\"tab\" aria-controls=tab-384 aria-selected=true tabindex=0>\n\t\t\t\t\t<span class=\"tab_title_area\"><H4 class=\"sp-tab__tab_title\">GraphViz<\/H4><\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t\t\t\t<li class=\"sp-tab__nav-item\" role=\"presentation\">\n\t\t\t\t<span class=\"sp-tab__nav-link\" data-sptoggle=\"tab\" for=\"#tab-385\" role=\"tab\" aria-controls=tab-385 aria-selected=true tabindex=0>\n\t\t\t\t\t<span class=\"tab_title_area\"><H4 class=\"sp-tab__tab_title\">TF IDF<\/H4><\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/li>\n\t\t\t<\/ul>\n<div class=\"sp-tab__tab-content\">\n\t\t\t\t<div id=\"tab-381\" class=\"sp-tab__tab-pane sp-tab__show sp-tab__active\" role=\"tabpanel\">\n\t\t\t\t\t<div class=\"sp-tab-content animated fadeIn\"><section id=\"h.9fb1a6da2a990f6_25\" class=\"yaqOZd LB7kq gk8rDe\">\n<div class=\"mYVXT\">\n<div class=\"LS81yb VICjCf j5pSsc db35Fc\">\n<div class=\"hJDwNd-AhqUyc-OiUrBf Ft7HRd-AhqUyc-OiUrBf purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\">\n<div class=\"oKdM2c ZZyype Kzv0Me\">\n<div id=\"h.9fb1a6da2a990f6_28\" class=\"hJDwNd-AhqUyc-OiUrBf Ft7HRd-AhqUyc-OiUrBf jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb\">\n<div class=\"jXK9ad-SmKAyb\">\n<div class=\"tyJCtd mGzaTb Depvyb baZpAe lkHyyc\" role=\"main\">\n<h3 id=\"h.6x3bvkh3rad2\" class=\"zfr3Q duRjpb CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Syllabus Overview<\/span><\/h3>\n<h3>AI &amp; ML Methods in Healthcare<\/h3>\n<h4>Prof. Javed Mostafa, University of Toronto<\/h4>\n<p>Profile:<span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/discover.research.utoronto.ca\/54363-javed-mostafa\" target=\"_blank\" rel=\"noopener\">https:\/\/discover.research.utoronto.ca\/54363-javed-mostafa<\/a><\/span><\/p>\n<p>Email: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"mailto:dr.javedm@utoronto.ca\">dr.javedm@utoronto.ca<\/a><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>Teaching assistant: Nibras Ar Rakib, email: <a href=\"nibras.rakib@mail.utoronto.ca\"><span style=\"color: #0000ff\">nibras.rakib@mail.utoronto.ca<\/span><\/a><\/p>\n<div class=\"hJDwNd-AhqUyc-ibL1re Ft7HRd-AhqUyc-ibL1re JNdkSc SQVYQc L6cTce-purZT L6cTce-pSzOP\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\"><strong>The Short Course Description<\/strong><\/div>\n<div><\/div>\n<div class=\"\">\n<p>Course website: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/camcis.org\/\" target=\"_blank\" rel=\"noopener\">https:\/\/camcis.org\/<\/a><\/span><\/p>\n<\/div>\n<div class=\"\">\n<p>What diseases tend to occur more frequently in neighborhoods near chemical plants? How can an oncologist view and understand the long-term progression of cancer in one of her patients? The health analytics course will introduce students to a broad range of informatics and data analytics methods used to answer these kinds of questions. The course will focus on building students\u2019 practical skills for processing and analyzing both structured and unstructured clinical data by taking them through the implementation of specific statistical methods and basic machine learning methods (applied AI techniques) to understand trends in individual and population health. By taking this course, students will become aware of the range of tools in a data analyst\u2019s and applied AI expert\u2019s toolbox and learn which ones to use to answer their own clinical or population health research questions.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_40\" class=\"yaqOZd\">\n<div class=\"mYVXT\">\n<div class=\"LS81yb VICjCf j5pSsc db35Fc\">\n<div class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\">\n<div class=\"oKdM2c ZZyype Kzv0Me\">\n<div id=\"h.9fb1a6da2a990f6_37\" class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb\">\n<div class=\"jXK9ad-SmKAyb\">\n<div class=\"tyJCtd mGzaTb Depvyb baZpAe\">\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong><span class=\"C9DxTc \">Reading Materials<\/span><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_44\" class=\"yaqOZd\">\n<div class=\"IFuOkc\">Most materials for the course will be available on the course website (<span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/camcis.org\/ai-ml-methods-in-healthcare\/\">https:\/\/camcis.org\/ai-ml-methods-in-healthcare\/<\/a><\/span>) and the interactive textbook in the Google Colab site. Information for the required textbook is listed below.<\/div>\n<div class=\"mYVXT\">\n<div class=\"LS81yb VICjCf j5pSsc db35Fc\">\n<div class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\">\n<div class=\"oKdM2c ZZyype Kzv0Me\">\n<div id=\"h.9fb1a6da2a990f6_41\" class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb\">\n<div class=\"jXK9ad-SmKAyb\">\n<div class=\"tyJCtd mGzaTb Depvyb baZpAe\">\n<ul class=\"n8H08c UVNKR \">\n<li class=\"zfr3Q TYR86d eD0Rn \" dir=\"ltr\">\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\" role=\"presentation\"><span class=\"C9DxTc \">Textbook: Berman, J. J. (2018). Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby. CRC Press.<\/span><\/p>\n<\/li>\n<li class=\"zfr3Q TYR86d eD0Rn \" dir=\"ltr\">\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\" role=\"presentation\">Selected interactive chapters used in the course are hosted on a cloud platform and we will share the URLs of the scripts with you through the course website (<a href=\"https:\/\/camcis.org\/ai-ml-methods-in-healthcare\/\">https:\/\/camcis.org\/ai-ml-methods-in-healthcare\/<\/a>) on 26 June, 2026, during the first interactive class session (we call this site: Google Colab). You\u2019ll be given instructions for accessing a read-write version to use for the course during the first meeting on the first-class day.<\/p>\n<\/li>\n<li dir=\"ltr\">Resource: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/drive.google.com\/drive\/folders\/13DnD_JvhLiqie2ZylrRu2SPXeWRFWHaW?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/li>\n<li dir=\"ltr\">Lectures: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/drive.google.com\/drive\/folders\/1FrnkUy_22s93gav_Y5WOQPlRrUKt1kIk?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_48\" class=\"yaqOZd\">\n<div class=\"mYVXT\">\n<div class=\"LS81yb VICjCf j5pSsc db35Fc\">\n<div class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\">\n<div class=\"oKdM2c ZZyype Kzv0Me\">\n<div id=\"h.9fb1a6da2a990f6_45\" class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb\">\n<div class=\"jXK9ad-SmKAyb\">\n<div class=\"tyJCtd mGzaTb Depvyb baZpAe\">\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong><span class=\"C9DxTc \">Course Requirements and Grading<\/span><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_52\" class=\"yaqOZd\">\n<div class=\"IFuOkc\">Total grade score achievable is 100.\u00a0 The course grade is determined via the following weighting:<\/div>\n<div class=\"mYVXT\">\n<div class=\"LS81yb VICjCf j5pSsc db35Fc\">\n<div class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\">\n<div class=\"oKdM2c ZZyype Kzv0Me\">\n<div id=\"h.9fb1a6da2a990f6_49\" class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb\">\n<div class=\"jXK9ad-SmKAyb\">\n<div class=\"tyJCtd mGzaTb Depvyb baZpAe\">\n<ul>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Class Participation \u2013 35%<\/span><\/li>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Project Mock Presentation \u2013 5% <\/span><\/li>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Group project<\/span>\n<ul>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Assignment 1 \u2013 25%<\/span><\/li>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Assignment 2 \u2013 15%<\/span><\/li>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Assignment 3: Project Completion &amp; Presentation \u2013 20%<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Participation grades will account for forum posting and synchronous session engagement. Responding to other students\u2019 questions in the forum will also positively impact your participation grade. Additional information on the project development and deliverables will be shared in the class.<\/span><\/p>\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">A final grade score 60 or above will be considered a Pass.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_56\" class=\"yaqOZd\">\n<div class=\"IFuOkc\">The class will be held from <strong>9:00AM to 12:00PM from Monday through Thursday<\/strong>. There will be no classes on Friday. <strong>On Friday at 9:00AM (1 hour), time will be made available to get support from a teaching assistant (TA).<\/strong> More details will be shared regarding the TA hours during the first class day. The last class day will be July 9th.<\/div>\n<\/section>\n<div>\n<p><em><strong>TA office location: TBD<\/strong><\/em><\/p>\n<p><strong>Appendix A<\/strong><\/p>\n<p><strong>Assignment 1: Hypothesis or a Research Question<\/strong><\/p>\n<p>The goal of assignment 1 is to develop a research question (hypothesis) based on healthcare data and to understand and implement a method to address the research question (hypothesis). Review and discuss the first few cases (chapters 19, 22, 24) in Part IV of the textbook with your group. You can also consider the case based on Chapter 5 dataset (please see <strong>Notes<\/strong>). These are examples of the kinds of questions you can answer with the tools and methods you are learning in this course. At this point, you don\u2019t have to understand the code used to answer the question \u2013 just focus on getting a feel for the type and scope of the problem you\u2019re expected to work on. Your first assignment as a group is to choose a dataset (associated with chapters 19, 22,24, or 5) and to define and contextualize a research question (hypothesis) that employs that dataset. For this assignment, you will:<\/p>\n<ol>\n<li>Identify a set of datasets you plan to work with for your project based on Chapters 19, 22, 24, or 5. Choose only one case as described in chapters 19, 22, 24, or 5. The files are available under the \u201cProject Data\u201d directory of the Google Drive: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/drive.google.com\/drive\/folders\/1vVe5nZ9yw6FM4_cUgMZHDDBruNqZbuPK?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click here<\/a><\/span>.\n<ol>\n<li><b>Chapter 19: Case Study: Emphysema Rates<\/b>\n<ol>\n<li>Mortality datasets (subset) : mort1999us.dat.<\/li>\n<li>Mortality datasets (full set) : MORT1999us.zip.<\/li>\n<li>Codebook for mortality dataset: CodebookForMort1999.pdf.<\/li>\n<li>ICD 10 datasets: each10.txt (Codebook instructions can be found in chapter-6 of the book).<\/li>\n<\/ol>\n<\/li>\n<li><strong>Chapter 22: Case Study: Ranking the Death-Certifying Process, by State<\/strong>\n<ol>\n<li>Mortality datasets (subset): mort1999us.dat.<\/li>\n<li>Mortality datasets (full set) : Mort1999us.zip<\/li>\n<li>Codebook for mortality dataset: CodebookForMort1999.pdf.<\/li>\n<li>States information: cdc_states.txt.<\/li>\n<\/ol>\n<\/li>\n<li><strong>Chapter 24: Case Study: Sickle Cell Rates<\/strong>\n<ol>\n<li>Mortality datasets (subset): mort1996us.dat, mort1999us.dat, mort2002us.dat, and mort2004us.dat.<\/li>\n<li>Mortality datasets (full set): MORT1996.zip, Mort1999us.zip, Mort2002us.zip, Mort2004us.zip.<\/li>\n<li>Codebook for mortality dataset: CodebookForMort1996.pdf, CodebookForMort1999.pdf, CodebookForMort2002.pdf, CodebookForMort2004.pdf.<\/li>\n<li>ICD 10 datasets: each10.txt (Codebook instructions can be found in chapter-6 of the book).<\/li>\n<\/ol>\n<\/li>\n<li><strong>Chapter 5_MeSH: Case Study: Nomenclature and Taxonomies<\/strong>\n<ol>\n<li>Medical Subject Heading or MeSH: d2009.bin.<\/li>\n<li>In the book, if you look at Chapter-5, you will find the data file \u201cd2009.bin\u201d being used. Please study chapter 5 closely if you wish to understand the content of the d2009.bin data file.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<li>Please describe the dataset using the following criteria:\n<ol>\n<li>Dataset name.<\/li>\n<li>Source of the dataset.<\/li>\n<li>Record count.<\/li>\n<li>Types of data (text, numeric or categorical).<\/li>\n<\/ol>\n<\/li>\n<li>Describe a research question (Check part-IV (chapter 19, 22, or 24) of the book for more examples) related to a medical or health sciences topic that could be answered using the dataset you have selected and methods learned in this course.\n<ul>\n<li>An example of research question is below:\n<ul>\n<li>\"If alpha-1 antitrypsin disease mutations play a significant contributory role in the pathogenesis of emphysema in the general population.\" *<\/li>\n<li>*Example taken from \u201cMethods in Medical Informatics, Page 270\u201d.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>Justify why your research question is an important one. Identify one or two relevant research articles. Provide a brief overview of relevant research and include references to the articles.\n<ul>\n<li>An example of justification: On occasion, a difference in the rate of occurrence of tumors among races may be due to identifiable (and mutable) exposure to carcinogens, or living conditions. Sometimes, socioeconomic conditions account for the differences. Occasionally, the differences lie in genetic traits that are found more often in one race than in another, and this may lead to an intervention that modifies the effect of the trait on the development of cancer [1].<\/li>\n<li><strong>Notice after the justification, the reference 1.<\/strong> You are supposed to include references to at least one article for your assignment 1. Example taken from \u201cMethods in Medical Informatics, Page 275\u201d.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>Reference:<br \/>\nDeCroo, S., Kamboh, M.I., Ferrell, R.E. Population genetics of alpha-1-antitrypsin polymorphism in US whites, US blacks and African blacks. Hum Hered 41:215\u2013221, 1991; Hutchison, D.C.S. Alpha-1-antitrypsin deficiency in Europe: Geographical distribution of Pi types S and Z. Resp Med 92:367\u2013377,1998.<\/p>\n<\/div>\n<p><strong><span data-preserver-spaces=\"true\">Notes: <\/span><\/strong><span data-preserver-spaces=\"true\">We have also shared the MeSH dataset from Chapter 5. Students can also consider using the MeSH dataset for assignment 1. As Chapter 5 does not have any specific case studies similar to Chapters 19, 22, and 24, we are sharing some interesting ideas that can <\/span><span data-preserver-spaces=\"true\">be used<\/span><span data-preserver-spaces=\"true\"> to develop a project using the MeSH dataset.<\/span><\/p>\n<ul>\n<li><span data-preserver-spaces=\"true\">Develop an interactive system to analyze and visualize the MeSH database.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Create<\/span><span data-preserver-spaces=\"true\"> a search system to <\/span><span data-preserver-spaces=\"true\">search<\/span><span data-preserver-spaces=\"true\"> the MeSH database<\/span><span data-preserver-spaces=\"true\">, <\/span><span data-preserver-spaces=\"true\">given<\/span><span data-preserver-spaces=\"true\"> a query.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Create a search system that can accept a search term, map the term with MeSH, search PubMed using MeSH terms, and return the results.<\/span><\/li>\n<\/ul>\n<p><strong>Provide a Project Outline<\/strong><\/p>\n<p>Now that you have defined your research question or hypothesis, it is time to plan your approach to address it. Throughout the course you have learned many methods and tools for answering medical questions; in this assignment you will choose one or more of these methods and tools best suited to help you answer your question. What methods and tools you choose depends significantly on both your question and the dataset(s) you chose. For this assignment, follow the two steps below:<\/p>\n<ol>\n<li>What general approach would you plan to apply to your dataset to answer your identified question? Which methods and tools would you plan to employ to answer this question? Why are these the appropriate methods and tools? For example, by methods and tools, we mean, specific script or script algorithm that you will use to answer the research question. The script or script algorithm should be chosen from the example that we have covered in the class.<\/li>\n<li>At the beginning of your document, you should briefly restate your research question. This is also a chance to redefine your research question based on feedback to Assignment 1, if you choose to do so.<\/li>\n<\/ol>\n<p>Responses to this assignment should be no more than 4 pages in length, single spaced, excluding any references or appendices. Include one additional cover page at the top of the document mentioning assignment number, name of the project, group member's name, and submission date. One group member should submit the assignment in PDF via email to dr.javedm@utoronto.ca and nibras.rakib@mail.utoronto.ca, <strong>no later than 11:59 PM on Friday, July 3, 2025<\/strong>.<\/p>\n<p><strong>Assignment 2: Script Algorithm<\/strong><\/p>\n<p>Based on your identified dataset, research question, and approach, you\u2019ll develop a script algorithm to operationalize your plan. These should be formatted similarly to the script algorithms presented throughout the textbook.<\/p>\n<ol>\n<li>Consider each step needed to get from your raw dataset to the answer to your research question.<\/li>\n<li>Write the complete step-by-step script algorithm (pseudocode). (See p. 270 in the textbook for an example.)<\/li>\n<li>Write a brief introduction to restate your research question and approach developed in Assignments 1 and 2 and to contextualize your script algorithm.<\/li>\n<li>Write a brief conclusion describing the type of output you would expect from following the steps in the script algorithm, and the information you would get from this output to answer your research question.<\/li>\n<\/ol>\n<p>Responses to this assignment should be no longer than 2 pages in length, single spaced, excluding references or appendices. Include one additional cover page at the top of the document mentioning assignment number, name of the project, group member's name, and submission date. One group member should submit the assignment in PDF via email to dr.javedm@utoronto.ca and nibras.rakib@mail.utoronto.ca, <strong>no later than 11:59 PM on Tuesday, July 7th, 2026<\/strong>.<\/p>\n<p><strong>Notes:<\/strong> Between the completion of assignment 3 and final presentation, you are expected to write code operationalizing your pseudocode (script algorithm).<\/p>\n<p><strong>Appendix B<\/strong><\/p>\n<p><strong>Assignment 3: Final presentation<\/strong><\/p>\n<p><strong>Thursday, July 9th, 2026 at 9AM - 12PM<\/strong><\/p>\n<p>Your group will present on your research question, approach, and script algorithm. Each presentation should be a maximum of 15 minutes in length, with 2 minutes for questions. In your presentation, you should:<\/p>\n<ol>\n<li>Describe and contextualize your research question: why is this an important question to answer?<\/li>\n<li>Describe your dataset and the overall approach you chose to answer the question.<\/li>\n<li>Walk through your script algorithm to explain how you planned to operationalize your approach.<\/li>\n<li>Describe the results based on your operationalization of your script algorithm.<\/li>\n<li>An outline of the presentation and appropriate instructions for each slide has been provided: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1j8B89QVVFlagRjIPkPGqorLro1l4izRz\/edit?slide=id.p1#slide=id.p1\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span>.<\/a><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div id=\"tab-382\" class=\"sp-tab__tab-pane \" role=\"tabpanel\">\n\t\t\t\t\t<div class=\"sp-tab-content animated fadeIn\"><section id=\"h.9fb1a6da2a990f6_73\" class=\"yaqOZd\">\n<div class=\"mYVXT\">\n<div class=\"LS81yb VICjCf j5pSsc db35Fc\">\n<div class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\">\n<div class=\"oKdM2c ZZyype Kzv0Me\">\n<div id=\"h.9fb1a6da2a990f6_70\" class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb\">\n<div class=\"jXK9ad-SmKAyb\">\n<div class=\"tyJCtd mGzaTb Depvyb baZpAe\">\n<h3 dir=\"ltr\">Weekly Class Schedule<\/h3>\n<h4 class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong><span class=\"C9DxTc \">Week 1: Monday June 29th - Thursday July 2nd<\/span><\/strong><\/h4>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_77\" class=\"yaqOZd\">\n<p class=\"IFuOkc\"><strong>Monday (29 June): Class 1 &amp; Lab 1<\/strong><\/p>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_77\" class=\"yaqOZd\">\n<ul>\n<li><strong>Topics of the class:<\/strong>\n<ul>\n<li>Introduction to AI &amp; ML Methods in Healthcare.<\/li>\n<li>Review of syllabus, class requirements.<\/li>\n<li>Parsing and transforming text files.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Book Chapter: <\/strong>Chapter 1: Parsing and transforming text files.<\/li>\n<li><strong>Lecture slides: <\/strong>Lecture 1, Lecture 2<\/li>\n<li><strong><span class=\"C9DxTc \">Steps you need to follow for this class:<\/span><\/strong>\n<ol>\n<li><strong>You must a have Google account. <\/strong>\n<ol>\n<li><strong>Instructions for creating Google account: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1JdGDXtuDT_oJmf__H6RNJBmmm4fz66CkfSr9G7QIXRI\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<li><strong>Video instruction: <a href=\"https:\/\/drive.google.com\/file\/d\/1OgoEsB1-Jb2faBl1IficcyuAyASGEN0r\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ol>\n<\/li>\n<li><strong>You must download the data files to your computer. <\/strong>\n<ol>\n<li><strong>Instructions for downloading the data files: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1j58vM3rjQ_0ExeajEPohQRTyFBwvEjq5fnc64Pn6Oog\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Video instruction: <a href=\"https:\/\/drive.google.com\/file\/d\/1USXxUMlsKkya4C6Zaf5DSHb_TzyWREKZ\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><span style=\"color: #0000ff\"><strong><a class=\"XqQF9c\" style=\"color: #0000ff\" href=\"https:\/\/drive.google.com\/file\/d\/1ZSxfyC6RL2LUCspfGk4NPVuWqiW9qX31\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span class=\"C9DxTc aw5Odc \">Click to download the data files<\/span><\/a>\u00a0<\/strong><\/span><\/li>\n<\/ol>\n<\/li>\n<li><strong>You must extract the data files in your computer. <\/strong>\n<ol>\n<li><strong>Instructions for extracting the data files: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1IM2fDN9F-SvI6MPq88cYkrHWm7ZD3-ssTpigMdYTu8U\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Video instruction: <a href=\"https:\/\/drive.google.com\/file\/d\/1MQpQHvJfA69whsSQtLISqK7x2YN0TbhG\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ol>\n<\/li>\n<li><strong>You must upload the data files to the Google account. <\/strong>\n<ol>\n<li><strong>Instructions for uploading the data files to your Google account: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1wh4U5H8NsXibliaHfbPEpGzgtyqXocTJ2zC9QR3Ae0s\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Video instruction: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/drive.google.com\/file\/d\/1QsIjlthX_K-F8V6peppuCZxcq8I7tChR\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<\/ol>\n<\/li>\n<li><strong>You must run the script in your Google account. <\/strong>\n<ol>\n<li><strong>Instructions for running script in your Google account: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1cv7DSk9bDhjuadKYzpNn-D1qes8JtCsM7asdLLT6gOs\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<li><strong>Video instruction: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/drive.google.com\/file\/d\/1cw3nJRE7uK7j1kV-mdtYrK_d3nseI5Sc\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<li><strong>Chapter 1 script URL: <span class=\"C9DxTc aw5Odc \"><a href=\"https:\/\/colab.research.google.com\/drive\/1SO_uReJ2ScUdeb8kTW1uoM2BNkgEESp5\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/span><\/strong><\/li>\n<\/ol>\n<\/li>\n<li><strong>You can also save the script to your Google account. <\/strong>\n<ol>\n<li><strong>Instructions for saving the script in your Google account: <a href=\"https:\/\/docs.google.com\/presentation\/d\/11NK5MtuhZ6eDq3DXGgxwsPPppimPsNcws8CBMinD13A\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Video instruction:<span style=\"color: #0000ff\"> <a style=\"color: #0000ff\" href=\"https:\/\/drive.google.com\/file\/d\/183lIevJdBNvhvpUBTHQVptGucLjZavAv\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<\/ol>\n<\/li>\n<li><strong>You can also modify the script in your Google account. <\/strong>\n<ol>\n<li><strong>Instructions for modifying the script in your Google account: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/16NXn8l2J7Ds8J5dDZtNTEyPVXXy05Y-cJ2AcqKgTFMc\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<li><strong>Video instruction: <a href=\"https:\/\/drive.google.com\/file\/d\/1IjD53qcb3w0IijDHFRT9YJWILgGRXfYq\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_77\" class=\"yaqOZd\">\n<p class=\"IFuOkc\"><strong><span class=\"C9DxTc \">Tuesday (30 June): Class 2 &amp; Lab 2<\/span><\/strong><\/p>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_77\" class=\"yaqOZd\">\n<div class=\"mYVXT\">\n<div class=\"LS81yb VICjCf j5pSsc db35Fc\">\n<div class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\">\n<div class=\"oKdM2c ZZyype Kzv0Me\">\n<div id=\"h.9fb1a6da2a990f6_74\" class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb\">\n<div class=\"jXK9ad-SmKAyb\">\n<div class=\"tyJCtd mGzaTb Depvyb baZpAe\">\n<ul>\n<li dir=\"ltr\"><strong>Topics of the class:\u00a0<\/strong>\n<ul>\n<li>Utility scripts for specific tasks.<\/li>\n<li>Ways to represent data in images.<\/li>\n<li dir=\"ltr\"><span class=\"C9DxTc \">Indexing.<\/span><\/li>\n<\/ul>\n<\/li>\n<li dir=\"ltr\"><strong>Book Chapter:<\/strong>\n<ul>\n<li>Chapter 2: Utility scripts.<\/li>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\">Chapter 3: Viewing and modifying images.<\/li>\n<li dir=\"ltr\">Chapter 4: Indexing text.<\/li>\n<\/ul>\n<\/li>\n<li dir=\"ltr\"><strong>Lecture Slides:\u00a0<\/strong>Lecture 3, Lecture 4, Lecture 5<\/li>\n<li dir=\"ltr\"><strong>Please follow steps 1 to 5 from the first class (29 June) before executing the script below (you do not need to do this again if you have done this once).<\/strong><\/li>\n<li><strong>Steps you need to follow for this class:<\/strong>\n<ol>\n<li><strong>You must run the script in your Google account. <\/strong>\n<ul>\n<li><strong>Chapter 2 script URL: <a href=\"https:\/\/colab.research.google.com\/drive\/1q_1cboMvyj9guX8EeJA3kGuwzss4g4FM\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 3 script URL: <a href=\"https:\/\/colab.research.google.com\/drive\/1ntcY4dEMKQ1traeF4lZ7t4JlMdesYFpe\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 4 script URL: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/colab.research.google.com\/drive\/1ZSDfjrPnxAMldD7EjQTnCkbDg1GyFHuG\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also save the script to your Google account. Instructions for saving the script in your Google account: <\/strong>\n<ul>\n<li><strong>Chapter 2: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1HfGEryRueMnWqsqw1h1C16PXpVCP5cBzGP2_lBMJaC8\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 3: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1SVUZI77bRHRsIJD3sOAPM6E2Tj18kRmMnq-ztoWjl7c\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 4: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1twxuS-9frRP8z9apkaSRrUD-EsDpDrGEA1EOCfEktTc\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also modify the script in your Google account. Instructions for modifying the script in your Google account:<\/strong>\n<ul>\n<li><strong>Chapter 2:<\/strong> <strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/1oFs4b2bQMqOCiSECH96jqP7utXia3EHWQqNQcatm9co\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 3: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1WogJeiHmDs6jAl2G09VbooAcjTZbVOECnNJnFO6NfSw\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<li><strong>Chapter 4: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1QK7Qv20oanKFF65uAlA-yhkwqxYVS2E1bcsCOJZqqnA\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/li>\n<li><strong><em>Assignment 1 (Deadline: July 3, 2026)<\/em><\/strong>\n<ul>\n<li><strong>Steps you need to follow for this assignment:<\/strong>\n<ul>\n<li><strong>Steps you need to follow for this assignment:<\/strong>\n<ol>\n<li><strong>You must read the instruction from <a href=\"https:\/\/camcis.org\/ai-ml-methods-in-healthcare\/#tab-1141\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Syllabus Overview -&gt; Appendix A -&gt; Assignment 1<\/span><\/a>.<\/strong><\/li>\n<li><strong>Dataset for Assignment 1: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/drive.google.com\/drive\/folders\/1vVe5nZ9yw6FM4_cUgMZHDDBruNqZbuPK?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong>\n<ol>\n<li>Chapter 19, 22\n<ol>\n<li>The Mort1999us.zip file contains the full dataset. If you want to use the subset of the data, please use mort1999us.dat file.<\/li>\n<\/ol>\n<\/li>\n<li>Chapter 24\n<ol>\n<li>The MORT1996.zip, Mort199us.zip, Mort2002us.zip, and Mort2004us.zip contains the full dataset. If you want to use the subset of the data, please use\u00a0 mort1996.dat, mort1999us.dat, mort2002us.dat, and mort2004us.dat files.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong><span class=\"C9DxTc \">Wednesday (1 July): Class 3 &amp; Lab 3<\/span><\/strong><\/p>\n<ul>\n<li dir=\"ltr\"><strong>Topics of the class:<\/strong>\n<ul>\n<li dir=\"ltr\"><span class=\"C9DxTc \">MeSH.<\/span><\/li>\n<li>Controlled Vocabularies (ICD)<\/li>\n<\/ul>\n<\/li>\n<li dir=\"ltr\"><strong>Book Chapter:<\/strong>\n<ul>\n<li dir=\"ltr\">Chapter 5: The National Library of Medicine\u2019s Medical Subject Headings (MeSH).<\/li>\n<li>Chapter 6: The International Classification of Diseases.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Lecture Slides:\u00a0<\/strong>Lecture 6, Lecture 7, Lecture 8<\/li>\n<li dir=\"ltr\"><strong>Please follow steps 1 to 5 from the first class (29 June) before executing the script below (you do not need to do this again if you have done this once).<\/strong><\/li>\n<li><strong>Steps you need to follow for this class:<\/strong>\n<ol>\n<li><strong>You must run the script in your Google account. <\/strong>\n<ul>\n<li><strong>Chapter 5 script URL: <a href=\"https:\/\/colab.research.google.com\/drive\/1C3xEvTByMy7OkKHCn_Pt6mZKg4eI0-aV\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 6 script URL: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/colab.research.google.com\/drive\/1VK3_X3oLZ0RfEoNESUS0W3MVNICERCul\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also save the script to your Google account. Instructions for saving the script in your Google account: <\/strong>\n<ul>\n<li><strong>Chapter 5: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1jyBly7qX3iG7JQYY0GMpFz4uywCKBT0LLAzQ3J0AEx8\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 6: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1-ZBr6NcfdWkZ9Chy556tuab4nGBQsmxxFxanPC0u7os\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also modify the script in your Google account. Instructions for modifying the script in your Google account: <\/strong>\n<ul>\n<li><strong>Chapter 5: <\/strong><strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/1k2nUZBXCFvPFzJ_1OfIKhwCZ7Laizkvf-jBRLwCeAUk\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 6: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1dshM1-0vGfB0wf0noq1MZ__uLLJwGXMTqIYTQV3tCZE\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong><span class=\"C9DxTc \">Thursday (2 July): Class 4 &amp; Lab 4<\/span><\/strong><\/p>\n<ul>\n<li dir=\"ltr\"><strong>Topics of the class:<\/strong>\n<ul>\n<li>NLM.<\/li>\n<\/ul>\n<\/li>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong>Book Chapter:<\/strong>\n<ul>\n<li>Chapter 9: PubMed.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Lecture Slides:\u00a0<\/strong>Lecture 9, 10<\/li>\n<li dir=\"ltr\"><strong>Please follow steps 1 to 5 from the first class (29 June) before executing the script below (you do not need to do this again if you have done this once).<\/strong><\/li>\n<li><strong>Steps you need to follow for this class:<\/strong>\n<ol>\n<li><strong>You must run the script in your Google account. <\/strong>\n<ul>\n<li><strong>Chapter 9 script URL: <a href=\"https:\/\/colab.research.google.com\/drive\/1OrbJxa7iR5geVqgzRJflT0frbSx0Jnew\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also save the script to your Google account. Instructions for saving the script in your Google account: <\/strong>\n<ul>\n<li><strong>Chapter 9: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1KmMrxrPW5XnevI7-j3r3U14KjNDVhxNedvEWwU-T42M\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also modify the script in your Google account. Instructions for modifying the script in your Google account: <\/strong>\n<ul>\n<li><strong>Chapter 9:<\/strong>\u00a0<strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/1dCvzTG-14NvZHRDkM_o6sj-H9mSsj87l8GpRfv1WVXs\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/li>\n<li><strong><em>Assignment 2 (Deadline: July 7th, 2025)<\/em><\/strong>\n<ul>\n<li dir=\"ltr\"><strong>Steps you need to follow for this assignment:<\/strong>\n<ol>\n<li><strong>You must read the instruction. Instruction for assignment 2: <a href=\"https:\/\/camcis.org\/ai-ml-methods-in-healthcare\/#tab-1351\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Syllabus Overview -&gt; Appendix A -&gt; Assignment 2<\/span><\/a>.<\/strong><\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<\/li>\n<li><em><strong>Assignment 3 (Deadline:\u00a0 July 9th, 2025)<\/strong><\/em>\n<ul>\n<li><strong>Steps you need to follow for this assignment:<\/strong>\n<ol>\n<li><strong>You must read the instruction. Instruction for assignment 3: <a href=\"https:\/\/camcis.org\/ai-ml-methods-in-healthcare\/#tab-1351\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Syllabus Overview -&gt; Appendix B -&gt; Assignment 3<\/span><\/a>.<\/strong><strong><br \/>\n<\/strong><\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_81\" class=\"yaqOZd\">\n<h4 class=\"IFuOkc\"><strong>Week 2: Monday July 6th - Thursday July 9th<\/strong><\/h4>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_85\" class=\"yaqOZd\">\n<div class=\"IFuOkc\"><strong>Monday (6 July): Lecture 5 &amp; Lab 5<\/strong><\/div>\n<div class=\"mYVXT\">\n<div class=\"LS81yb VICjCf j5pSsc db35Fc\">\n<div class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\">\n<div class=\"oKdM2c ZZyype Kzv0Me\">\n<div id=\"h.9fb1a6da2a990f6_82\" class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb\">\n<div class=\"jXK9ad-SmKAyb\">\n<div class=\"tyJCtd mGzaTb Depvyb baZpAe\">\n<ul>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \"><strong>Topics of the class:<\/strong><\/span>\n<ul>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Leveraging Taxonomies and Classification Schemes<\/span><\/li>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Structuring Data and Manipulating Structured Data<\/span><\/li>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><span class=\"C9DxTc \">Group Project Progress<\/span><\/li>\n<li class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong><span class=\"C9DxTc \">Mock Demos.<\/span><\/strong><\/li>\n<\/ul>\n<\/li>\n<li dir=\"ltr\"><strong>Book Chapter:\u00a0<\/strong>\n<ul>\n<li>Chapter 10: Taxonomy.<\/li>\n<li>Chapter 18: Describing Data with Data Using XML.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Lecture Slides:\u00a0<\/strong>Lecture 11, Lecture 12, Lecture 13<\/li>\n<li dir=\"ltr\"><strong>Please follow steps 1 to 5 from the first class (29 June) before executing the script below (you do not need to do this again if you have done this once).<\/strong><\/li>\n<li><strong>Steps you need to follow for this class:<\/strong>\n<ol>\n<li><strong>You must run the script in your Google account. <\/strong>\n<ul>\n<li><strong>Chapter 10 script URL:<\/strong> <strong><a href=\"https:\/\/colab.research.google.com\/drive\/1DugWrqTTnKB9vAEVBaGAQkYFtlhSQhfb?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 18 script URL:<\/strong> <strong><a href=\"https:\/\/colab.research.google.com\/drive\/1ZwU6LMdUifQd1bva9aFbwLUjXEs8ns4b?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also save the script to your Google account. Instructions for saving the script in your Google account: <\/strong>\n<ul>\n<li><strong>Chapter 10: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1mT7Y3nHuN2UmhtorLFLfnnCibbpKmNpDwMPvM47AWA0\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li><strong>Chapter 18: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1EjRAcBueKIOcDy7EOAndu3XcV8veYArSkeK_54lEATo\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also modify the script in your Google account. Instructions for modifying the script in your Google account: <\/strong>\n<ul>\n<li><strong>Chapter 10: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1cWSLTFoYFYCILF7yqqaVJpn3pDhglunE8Pao7Fiv87U\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<li><strong>Chapter 18: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1PqeZ97_UGyaKNZCiREVNKtOSyVUKusCSDoPyzF1VRe8\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong><span class=\"C9DxTc \">Tuesday (7 July): Lecture 6 &amp; Lab 6<\/span><\/strong><\/p>\n<ul>\n<li dir=\"ltr\"><span class=\"C9DxTc \"><strong>Topics of the class: <\/strong><\/span>\n<ul>\n<li dir=\"ltr\"><span class=\"C9DxTc \">Structuring Data and Manipulating Structured Data.<\/span><\/li>\n<\/ul>\n<\/li>\n<li dir=\"ltr\"><strong>Book Chapter:<\/strong>\n<ul>\n<li dir=\"ltr\">Chapter 18: Describing Data with Data Using XML<\/li>\n<\/ul>\n<\/li>\n<li dir=\"ltr\"><strong>Lecture Slides:\u00a0<\/strong>Lecture 13.<\/li>\n<li dir=\"ltr\"><strong>Please follow steps 1 to 5 from the first class (29 June) before executing the script below (you do not need to do this again if you have done this once).<\/strong><\/li>\n<li><strong>Steps you need to follow for this class:<\/strong>\n<ol>\n<li><strong>You must run the script in your Google account. <\/strong>\n<ul>\n<li><strong>Chapter 18 script URL:<\/strong> <strong><a href=\"https:\/\/colab.research.google.com\/drive\/1ZwU6LMdUifQd1bva9aFbwLUjXEs8ns4b?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also save the script to your Google account. Instructions for saving the script in your Google account: <\/strong>\n<ul>\n<li><strong>Chapter 18: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1EjRAcBueKIOcDy7EOAndu3XcV8veYArSkeK_54lEATo\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><strong><br \/>\n<\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also modify the script in your Google account. Instructions for modifying the script in your Google account:<\/strong>\n<ul>\n<li><strong>Chapter 18: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1PqeZ97_UGyaKNZCiREVNKtOSyVUKusCSDoPyzF1VRe8\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><strong><br \/>\n<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/li>\n<li><strong>ETTA<\/strong>\n<ul>\n<li><a href=\"https:\/\/etta.lairhub.com\/\"><span style=\"color: #0000ff\">https:\/\/etta.lairhub.com\/<\/span><\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong><span class=\"C9DxTc \">Wednesday (8 July): Lecture 7 &amp; Lab 7<\/span><\/strong><\/p>\n<ul>\n<li dir=\"ltr\"><span class=\"C9DxTc \"><strong>Topics of the class: <\/strong><\/span>\n<ul>\n<li dir=\"ltr\"><span class=\"C9DxTc \">Mining Information.<\/span><\/li>\n<\/ul>\n<\/li>\n<li dir=\"ltr\"><strong>Book Chapter:<\/strong>\n<ul>\n<li dir=\"ltr\">Chapter 14: Autocoding.<\/li>\n<\/ul>\n<\/li>\n<li dir=\"ltr\"><strong>Lecture Slides:\u00a0<\/strong>Lecture 14.<\/li>\n<li dir=\"ltr\"><strong>Please follow steps 1 to 5 from the first class (29 June) before executing the script below (you do not need to do this again if you have done this once).<\/strong><\/li>\n<li><strong>Steps you need to follow for this class:<\/strong>\n<ol>\n<li><strong>You must run the script in your Google account. <\/strong>\n<ul>\n<li><strong>Chapter 14 script URL:<\/strong> <span style=\"color: #0000ff\"><strong><a style=\"color: #0000ff\" href=\"https:\/\/colab.research.google.com\/drive\/1HSfTjv97QZgEjrKEarMaR8YKNb_4sZBz?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/strong><\/span><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also save the script to your Google account. Instructions for saving the script in your Google account: <\/strong>\n<ul>\n<li><strong>Chapter 14: <a href=\"https:\/\/docs.google.com\/presentation\/d\/1bztA9nPmkYRkdQ5nshX1N-SpasdlmWV8ZIiLqCJHQ3c\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<li><strong>You can also modify the script in your Google account. Instructions for modifying the script in your Google account:<\/strong>\n<ul>\n<li><strong>Chapter 14: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1YAoN5kVajcN9CoFC-mKKAtL3rC88YG4m3P_nJP-Y8xA\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/span><\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<p class=\"zfr3Q CDt4Ke \" dir=\"ltr\"><strong><span class=\"C9DxTc \">Thursday (9 July): Student Presentation<\/span><\/strong><\/p>\n<ul>\n<li dir=\"ltr\"><strong>Topics of the class:\u00a0<\/strong>Project Presentations.<\/li>\n<li dir=\"ltr\"><strong>Submit Assignment 3<\/strong><\/li>\n<li dir=\"ltr\">Class Wrap-up.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section id=\"h.9fb1a6da2a990f6_89\" class=\"yaqOZd\"><\/section>\n<section id=\"h.9fb1a6da2a990f6_97\" class=\"yaqOZd\"><\/section>\n<section id=\"h.9fb1a6da2a990f6_101\" class=\"yaqOZd\">\n<div class=\"mYVXT\">\n<div class=\"LS81yb VICjCf j5pSsc db35Fc\">\n<div class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc\">\n<div class=\"JNdkSc-SmKAyb LkDMRd\">\n<div class=\"\">\n<div class=\"oKdM2c ZZyype Kzv0Me\">\n<div id=\"h.9fb1a6da2a990f6_98\" class=\"hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb\">\n<div class=\"jXK9ad-SmKAyb\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div id=\"tab-383\" class=\"sp-tab__tab-pane \" role=\"tabpanel\">\n\t\t\t\t\t<div class=\"sp-tab-content animated fadeIn\"><h3>SQLite<\/h3>\n<ul>\n<li>For this course, we are going to use SQLite database. To properly connect with a SQLite database, enter and revise data, and retrieve the results, follow the instructions below.\n<ul>\n<li>Instructions for Windows 11: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1hwumbwp4ypDhNuGHQFP1iYTCfigVEDWglpreMKkv7A4\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><strong>Click to view<\/strong><\/a><\/span><\/li>\n<li>Instructions for macOS: <a href=\"https:\/\/docs.google.com\/presentation\/d\/147U4nW9UWkNSpBipZjSuornwMW0LYRJteK6o5YqfPjY\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><strong><span style=\"color: #0000ff\">Click to view<\/span><\/strong><\/a><\/li>\n<\/ul>\n<\/li>\n<li>Bulk CSV file:\n<ul>\n<li><strong><a href=\"https:\/\/drive.google.com\/file\/d\/1J_dZZXeAiYVPLiFAGkIBx-XTZRb-zaCl\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to download<\/span><\/a><\/strong><\/li>\n<li>Please review the Chapter 5 script (section 5.6 (Bulk Import - Downloading Article Information from PubMed)) to understand the preparation of the CSV file.\n<ul>\n<li>Chapter 5 Script URL: <strong><a href=\"https:\/\/colab.research.google.com\/drive\/1C3xEvTByMy7OkKHCn_Pt6mZKg4eI0-aV\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>Instructions to import bulk CSV file into the SQLite:\n<ul>\n<li>Instructions for Windows 11: <span style=\"color: #0000ff\"><strong><a style=\"color: #0000ff\" href=\"https:\/\/docs.google.com\/presentation\/d\/1SLgJSicSWg0H_W28bqFUQQlSVh47yiaMzfaD86_oHZ4\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/strong><\/span><\/li>\n<li>Instructions for macOS: <strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/18HMVo8-edYupLEDRS670sHBI3f-K9rpQfuR51m8kGEI\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<li>Official SQLite Documentation: <span style=\"color: #0000ff\"><strong><a style=\"color: #0000ff\" href=\"https:\/\/www.sqlite.org\/docs.html\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/strong><\/span><\/li>\n<li>Structured query language as understood by SQLite: <span style=\"color: #0000ff\"><strong><a style=\"color: #0000ff\" href=\"https:\/\/www.sqlite.org\/lang.html\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/strong><\/span><\/li>\n<li>Built-in aggregate function for SQLite: <strong><a href=\"https:\/\/www.sqlite.org\/lang_aggfunc.html\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li>Date and time functions: <strong><a href=\"https:\/\/www.sqlite.org\/lang_datefunc.html\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div id=\"tab-384\" class=\"sp-tab__tab-pane \" role=\"tabpanel\">\n\t\t\t\t\t<div class=\"sp-tab-content animated fadeIn\"><h3>GraphViz<\/h3>\n<p>In this course, we are going to use a graph visualization software called \"Graphviz\". Graphviz is a prominent application in the domain of healthcare, bioinformatics, networking, software engineering, and machine learning. For details please visit: <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/graphviz.org\/\" target=\"_blank\" rel=\"noopener\">https:\/\/graphviz.org\/<\/a><\/span>.<\/p>\n<ul>\n<li>The script below implements the Python implementation of Graphviz.\n<ol>\n<li>To use the script, first download the term-term similarity matrix (a CSV file) from the URL below:\n<ul>\n<li>To understand how we populated the CSV file, please go to the \"<strong><a href=\"https:\/\/camcis.org\/ai-ml-methods-in-healthcare\/#tab-385\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">TF-IDF tab<\/span><\/a><\/strong>\" and review the \"Additional Script\".<\/li>\n<li>Term-term similarity matrix CSV file:\u00a0 <strong><a href=\"https:\/\/drive.google.com\/file\/d\/1VZz113h5rA4AdB7ujPd_bmbFFRp97Uof\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to download<\/span><\/a><\/strong><\/li>\n<\/ul>\n<\/li>\n<li>Upload the term-term similarity matrix CSV file into the Google Drive (\"My Drive\/HealthDataAnalyticsData\/\" folder)<\/li>\n<li>Execute the script below:\n<ol>\n<li>Graph viz python implementation: <span style=\"color: #0000ff\"><strong><a style=\"color: #0000ff\" href=\"https:\/\/colab.research.google.com\/drive\/1LEANAtqjpsGKJYloH6oJPK9UBxiWEeei?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/strong><\/span><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<ul>\n<li>To use the Graphviz software, we are going to follow the steps below:<\/li>\n<\/ul>\n<ol>\n<li>\n<ol>\n<li>Download the grammar file (also known as scripting file) for defining Graphviz nodes, edges, and graphs.\n<ol>\n<li><a href=\"https:\/\/docs.google.com\/uc?export=download&amp;id=1aB7BjX_-yDSQ0bhlIBWr9M7y-jBn00hJ\" target=\"_blank\" rel=\"noopener\"><strong><span style=\"color: #0000ff\">Click to download<\/span><\/strong><\/a><\/li>\n<li>Please review Chapter-18 for details for generating grammar file from RDF schema.\n<ol>\n<li>Chapter 18 script URL: <span style=\"color: #0000ff\"><strong><a style=\"color: #0000ff\" href=\"https:\/\/colab.research.google.com\/drive\/1ZwU6LMdUifQd1bva9aFbwLUjXEs8ns4b?usp=sharing\" target=\"_blank\" rel=\"noopener\">Click to view<\/a><\/strong><\/span><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<li>Upload the grammar file to Graphviz.\n<ol>\n<li>Instructions for Windows 11: <strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/1IT2KtJZNhBm-l9twUJce1vApSlS-blBpQ1NgookdQiA\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li>Instructions for MacOS: <strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/1yC74H36qrK7kiCsnOi0a5Py-XI9vvgivdaCzhxE8idc\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ol>\n<\/li>\n<li>Visualize the RDF schema with Graphviz.\n<ol>\n<li>Instructions for Windows 11: <strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/1VpUf0hiYxS_ITM7_DWMINYC9XjyLvfmzUqwhuGh4Hs4\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<li>Instructions for MacOS: <strong><a href=\"https:\/\/docs.google.com\/presentation\/d\/1AisisenLwi9JEoJAxI7QuGzJq9IzDtn1nFjuZIHYfLU\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/strong><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div id=\"tab-385\" class=\"sp-tab__tab-pane \" role=\"tabpanel\">\n\t\t\t\t\t<div class=\"sp-tab-content animated fadeIn\"><h3>TF IDF<\/h3>\n<ul>\n<li>Additional Script: <a href=\"https:\/\/colab.research.google.com\/drive\/1E7Shd7c0GGEKNC_sfIP39aZixLKiAWP5\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff\">Click to view<\/span><\/a><\/li>\n<\/ul>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-39","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/camcis.org\/index.php\/wp-json\/wp\/v2\/pages\/39","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/camcis.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/camcis.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/camcis.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/camcis.org\/index.php\/wp-json\/wp\/v2\/comments?post=39"}],"version-history":[{"count":1,"href":"https:\/\/camcis.org\/index.php\/wp-json\/wp\/v2\/pages\/39\/revisions"}],"predecessor-version":[{"id":40,"href":"https:\/\/camcis.org\/index.php\/wp-json\/wp\/v2\/pages\/39\/revisions\/40"}],"wp:attachment":[{"href":"https:\/\/camcis.org\/index.php\/wp-json\/wp\/v2\/media?parent=39"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}