Algorithmic Fairness In Predicting Opioid Use Disorder Using Machine Learning

Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning

ACM FAccT Conference

Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning

Institute for Experiential AI

MedAI #71: Opioid Use Disorder Prediction Using AI and Existing Risk Models | Sajjad Fouladvand

Algorithmic Bias and Machine Learning in Health Care

Columbia Public Health

Introduction to Algorithm Fairness | Causes, Measuring & Preventing Unfairness in Machine Learning

Algorithmic Bias and Fairness: Crash Course AI #18

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Veterans Health Administration

Predicting Repeat Admissions to Substance Abuse Treatment with Machine Learning

Ethical AI: Addressing Bias & Algorithmic Fairness

Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact

A Novel Ensemble Machine Learning Algorithm for Prediction of Dysphagia - Don Park, M.D.

Seattle Science Foundation

An Introduction to Algorithmic Fairness by Thore Husfeldt

GAIA

Cynthia Dwork - Fairness, Justice, and … Algorithms? - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)

Michael Kearns: “Fairness” in Machine Learning

Carnegie Council for Ethics in International Affairs

Drs. Shaya, Pradhan, & Oates: Models to Optimize Opioid Prescribing Informatics Grand Rounds 3/11/21

Johns Hopkins Medicine

Machine learning could predict medication response in patients with complex mood disorders

LawsonHealthResearch

UA study to predict who will abuse opioids

FTA: Algorithmic Fairness

Partnership on AI

Inherent Trade-Offs in Algorithmic Fairness

Microsoft Research

"Enabling Fairness in Healthcare Through Machine Learning" - Dr Geoff Keeling

Philosophy and Medicine at KCL