Date of Award

January 2023

Document Type

Open Access Thesis

Degree Name

Master of Public Health (MPH)


School of Public Health

First Advisor

Richard Taylor

Second Advisor

Ambrose Wong


Machine-Learning (ML) algorithms are increasingly used to assist clinicians in decision-making. Recent studies have shown, however, that machine learn- ing algorithms might be prone to unfairness, albeit unintentional. As such, it is important to ensure that algorithms do not discriminate against certain groups. This thesis examines an in-house algorithm used to predict agitation among mental-health patients in the emergency department and addresses biases that might arise from generated predictions.


This is an Open Access Thesis.

Open Access

This Article is Open Access