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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

6.7930/HST.956: Machine Learning for Healthcare

WEBIntroduces students to machine learning in healthcare, including the nature of clinical data and the use of machine learning for risk stratification, disease progression modeling, …

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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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6.871/HST.956: Machine Learning for Healthcare

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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 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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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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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

WEBPredicting Risk of Cardiac Sudden Death. Swedish Data (2014-18) 401,765 ECGs from 119,724 patients. Every patient linked to EHR data, death certificates (if any) 0.7% have …

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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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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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Lecture 16: Learning with Noisy Labels, Unsupervised Learning

WEBTreat the anchors (noisy labels) as “true” labels then censor them from the dataset (as they don’t appear in practice for real-time prediction) Learn a classifier to predict …

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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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