Machine Learning for Healthcare

Introduction: What Makes Healthcare Unique?

Overview of Clinical Care

Deep Dive into Clinical Data

Risk Stratification, Part 1

Discussant: Leonard D'Avolio

Risk Stratification, Part 2

Physiological Time-Series

Natural Language Processing (NLP), Part 1

Discussant: Katherine Liao

Natural Language Processing (NLP), Part 2

Translating Technology into the Clinic

Discussant: Adam Wright

Machine Learning for Cardiology

Guest Lecture: Rahul Deo

Machine Learning for Differential Diagnosis

Machine Learning for Pathology

Guest Lecture: Andy Beck

Machine Learning for Mammography 

Guest Lecture: Connie Lehman, Adam Yala

Causal Inference, Part 1

Causal Inference, Part 2

Reinforcement Learning, Part 1

Guest Lecture: Fredrik Johansson

Reinforcement Learning, Part 2

Guest Lecture: Barbra Dickerman

Evaluating Dynamic Treatment Strategies

Disease Progression & Subtyping, Part 1

Disease Progression & Subtyping, Part 2

Precision Medicine

Automating Clinical Workflows

Regulation of ML/AI in the US

Guest Lecture: Andy Coravos

Human Subjects Research

Guest Lecture: Mark Shervey

Fairness

Robustness to Dataset Shift