About the Lab

Led by David Sontag, the Clinical Machine Learning Group is interested in advancing machine learning and artificial intelligence, and using these techniques to advance health care.

Broadly, we have two goals:

  • Clinical: To make a difference in health care, we need to create algorithms that are useful for solving real clinical problems.
  • Machine learning: We need rigorous solutions, which can pave the way for safe deployment of machine learning in high-stakes settings like healthcare.

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Team

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David Sontag

Professor of EECS

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Hunter Lang

PhD Student

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Shannon Shen

PhD Student

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Ilker Demirel

PhD Student

Recent Publications

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Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing

Objective: Leverage electronic health record (EHR) audit logs to develop a machine learning (ML) model that predicts which notes a …

Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma