Schedule

Event

Date

Description

Course Module
Lecture

2023/05/08
Monday

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

Module 0: Reproducible Research
Proposal Class

2023/05/10
Wednesday

Proposal Class 0 - Papers and Research Questions
[slides]
Literature Tutorial

2023/05/10
Wednesday

Literature 0 - Reproducible Research
[A Beginner’s Guide to Conducting Reproducible Research] [Reproducibility in machine learning for health research, still a ways to go]
Practical

2023/05/12
Friday

Practical 0 - Reproducible Health Data Science Research
[Intro to R (html)] [Intro to R (rmd)] [Practical 0 (html)] [Practical 0 (rmd)]
Lecture

2023/05/15
Monday

Lecture 1 - Medical Databases
[slides] [recording]

Module 1: Medical Databases (Tabular Data)
Proposal Class

2023/05/17
Wednesday

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

2023/05/17
Wednesday

Literature 1 - Medical Databases
[Interpretable Machine Learning Approaches to Prediction of Chronic Homelessness] [Health Care and Public Service Use and Costs Before and After Provision of Housing for Chronically Homeless Persons With Severe Alcohol Problems]
Practical

2023/05/19
Friday

Practical 1 - Medical Databases
[Practical (html)] [Practical (rmd)] [Dataset] [Data Dictionary]
2023/05/22 13:00
Monday

University Closed - Victoria Day
Lecture

2023/05/24
Wednesday

Lecture 2 - Electronic Medical Records (Dr. Jay Kumar)
[slides] [recording (temporary last year)]

Module 2: Electronic Medical Records (Text data)
Proposal Class

2023/05/26
Friday

Proposal Class 2 - Proposing Ethical Research
[slides (previous year for reference)]
Literature Tutorial

2023/05/26
Friday

Literature 2 - Electronic Medical Records
[Identifying Clinical Terms in Medical Text Using Ontology-Guided Machine Learning] [The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs]
Due

2023/05/28 23:59
Sunday

Report from Practical 1: Medical Databases Due
Practical

2023/05/29
Monday

Practical 2 - Electronic Medical Records (Dr. Jay Kumar)
[Practical (html)] [Practical (rmd)]
Lecture

2023/05/31
Wednesday

Lecture 3 - Medical Imaging
[slides] [recording]

Module 3: Medical Imaging (Image Data)
Proposal Class

2023/06/02
Friday

Proposal Class 3 - Proposal checkpoint
Literature Tutorial

2023/06/02
Friday

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]
Due

2023/06/04 23:59
Sunday

Report from Practical 2: Electronic Medical Records
Practical

2023/06/05
Monday

Practical 3 - Medical Images
[Practical (rmd)] [Dataset (zip)] [Practical (html)] [Practical (ipynb backup for running on google colab using R runtime)]
Lecture

2023/06/07
Wednesday

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

Module 4: Physiological Sensors (Signal Data)
Proposal Class

2023/06/09
Friday

Proposal Class 4 - Knowledge Translation Plans
[slides]
Literature Tutorial

2023/06/09
Friday

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]
Due

2023/06/11 23:59
Sunday

Report from Practical 3: Radiological Imaging
Practical

2023/06/12
Monday

Practical 4 - Physiological Sensors
[Practical (html)] [Practical (rmd)]
Exam

2023/06/14 13:00
Wednesday

Proposal Presentations
Due

2023/06/18 23:59
Sunday

Report from Practical 4: Physiological Time-Series
Exam

2023/06/19 23:59
Monday

Written Proposal Deadline Today