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6.871/HST.956: Machine Learning for Healthcare

WEB6.871/HST.956: Machine Learning for Healthcare. Instructors: David Sontag, Peter Szolovits. Teaching Assistants: Willie Boag, Ray Liao, Wei-Hung Weng. Graduate level; …

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URL: https://mlhcmit.github.io/2021/index.html

6.871/HST.956: Machine Learning for Healthcare

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Critical Appraisal of Applying Machine Learning in Healthcare

WEBCritical Appraisal of Applying Machine Learning in Healthcare 6.871/HST.956: Machine Learning for Healthcare March 29, 2022 Dr. Madhur Nayan

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Machine Learning for Healthcare 6.7930, HST

WEBWe evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step …

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Machine Learning for Healthcare

WEBMachine Learning for Healthcare HST.956, 6.S897 Lecture 5: Risk stratification (continued) David Sontag

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Machine Learning for Healthcare

WEBMachine Learning for Healthcare 6.871, HST.956 Lecture 22: Dynamic treatment regimes & off-policy reinforcement learning David Sontag Acknowledgement: some slides adapted …

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Machine Learning for Healthcare

WEBMachine Learning for Healthcare 6.871, HST.956 Lecture 10: Causal Inference Part 1 David Sontag

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Regulation of AL / ML in the US 6.S897/HST.956: Machine …

WEBOverview of today’s lecture Overview US Regulatory Agencies A look at the FDA, FTC, FCC and other agencies that have oversight for health-related software and data.

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Overview of Clinical Care

WEBOverview of Clinical Care 6.871/HST.956: Machine Learning for Healthcare February 3, 2022 Dr. Madhur Nayan

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Machine Learning for Healthcare

WEBOld vs. New. Traditionally, risk stratification was based on simple scores using human-entered data. Now, based on machine learning on high-dimensional data. Fits more …

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Machine Learning for Healthcare

WEBFeb 28, 2023 Peter Szolovits. (with many slides from David Sontag) Machine Learning for Healthcare. 6.7930, HST.956. Outline for today’s class. 1. Using ML for risk stratification …

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Machine Learning for Healthcare

WEBLab test 2160-0 Creatinine 1284737 3094-0 Urea nitrogen 1282344 2823-3 Potassium 1280812 2345-7 Glucose 1299897 1742-6 Alanine aminotransferase 1187809

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2024 6.793/HST.956 Class Projects

WEB6.793/HST.956 2024 Potential Class Projects. In our lecture on February 22, you heard Drs. Celi and Dale describe potential projects for our students to work on this semester. In …

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Lecture 16: Learning with Noisy Labels, Unsupervised Learning

WEBClass-Conditional random label Noise (CCN): Misclassification noise only depends on Y, not X! Since Y is binary, need two parameters to fully define 䬄⇀. Misclassification rate …

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Human Subjects Research

WEBWhat is research? Research: systematic investigation to develop or contribute to generalizable knowledge. Human subjects research: data through

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lecture 3 Data Science

WEBPayer Derived Data • Claims data • Consists of the billing codes that providers (physicians, hospitals, pharmacies, and other health care providers) submit to payers • Examples: …

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