Schedule

Event

Date

Description

Course Module
Proposal Class

2026/05/07
Thursday

Proposal Class 0 - Papers and Research Questions
[slides]
Lecture

2026/05/11
Monday

Lecture 0 - Introduction to health data science
[slides] [Recording]

Module 0: Reproducible Research
Literature Tutorial

2026/05/13
Wednesday

Literature 0 - Reproducible Research
[A Beginner’s Guide to Conducting Reproducible Research] [Challenges to the Reproducibility of Machine Learning Models in Health Care] [Reproducibility in machine learning for health research, still a ways to go]
Practical

2026/05/15
Friday

Practical 0 - Reproducible Health Data Science Research
[Practical 0 (html)] [Practical 0 (rmd)]
2026/05/18 00:00
Monday

University Closed - Victoria Day
Lecture

2026/05/20
Wednesday

Lecture 1 - Medical Databases
[slides] [recording]

Module 1: Medical Databases (Tabular Data)
Proposal Class

2026/05/22
Friday

Proposal Class 1 - Abstracts and Data Access Considerations
[slides]
Literature Tutorial

2026/05/22
Friday

Literature 1 - Medical Databases
[More Generalizable Models for Sepsis Detection Under Covariate Shift (AMIA Jt Summits Transl Sci Proc)] [A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock Development, Implementation, and Impact on Clinical Practice (Critical Care Medicine)]
Practical

2026/05/23
Saturday

Practical 1 - Medical Databases
[Practical (html)] [Practical (rmd)]
Lecture

2026/06/01
Monday

Lecture 2 - Electronic Medical Records
[slides] [recording]

Module 2: Electronic Medical Records
Proposal Class

2026/06/03
Wednesday

Proposal Class 2 - Proposing Ethical Research
[slides]
Literature Tutorial

2026/06/03
Wednesday

Literature 2 - Electronic Medical Records
[Topic modeling on clinical social work notes for exploring social determinants of health factors - Sun et. al.] [Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication - Chung et. al.]
Practical

2026/06/05
Friday

Practical 2 - Electronic Medical Records
[Practical (html)] [Practical (rmd)]
Lecture

2026/06/08
Monday

Lecture 3 - Medical Imaging
[slides] [recording]

Module 3: Medical Imaging (Image Data)
Literature Tutorial

2026/06/10
Wednesday

Literature 3 - Medical Imaging
[Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs] [Deep learning algorithm predicts diabetic retinopathy progression in individual patients]
Literature Tutorial

2026/06/10
Wednesday

Literature 4 - Physiological Sensors
[Improvements in atrial fibrillation detection for real-time monitoring] [An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm, a retrospective analysis of outcome prediction]
Practical

2026/06/12
Friday

Practical 3 - Medical Images
[Practical (html)] [Practical (rmd)]
Lecture

2026/06/15
Monday

Lecture 4 - Physiological Signal Data
[slides] [recording]

Module 4: Physiological Sensors (Signal Data)
Proposal Class

2026/06/16
Tuesday

Proposal Class 4 - Knowledge Translation Plans
[slides]
Exam

2026/06/22 13:05
Monday

Proposal Presentations 1
Exam

2026/06/24 13:05
Wednesday

Proposal Presentations 2
Exam

2026/06/26 13:05
Friday

Proposal Presentations 3
Exam

2026/06/29 23:59
Monday

Written Proposal Deadline Today