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Browse materialsMIT HST.950J · Fall 2010

Biomedical Computing

Subjects: Biology · Computer Science · Technology

Art: Vesal b, 1538 · Public domain

Instructors: Prof. Peter Szolovits, Prof. Gil Alterovitz
Term: Fall 2010
Level: Graduate
What's inside: 1 reading · 16 other files · 6 web pages
Materials open: MIT OCW

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About this course

Source: MIT OpenCourseWare HST.950J Biomedical Computing, Fall 2010, Prof. Peter Szolovits, Prof. Gil Alterovitz — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

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Before you start

Prerequisites are not listed here. Check MIT's own syllabus for this course.

How this course was organized

What's here, and what isn't

A lecture sequence of 24 items is confirmed. Assignment and exam materials exist too, but MIT's own order for them could not be verified, so they're shown as materials below rather than a sequence.

Not included here

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Referenced in a table, but without MIT's own verified order, so it isn't used to claim a sequence.

Materials by section

Grouped by section, as MIT organized them. Not sequenced or ordered.

Lectures and Readings

14 files

Assignments

2 files

7 images

MIT OpenCourseWare, Prof. Peter Szolovits, Prof. Gil Alterovitz, HST.950J Biomedical Computing, Fall 2010.

License: CC BY-NC-SA 4.0 · Edition: Fall 2010 · Open the original course on OCW ↗

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Biomedical Computing

Before you start

What's here, and what isn't

Not included here

Materials by section

Lectures and Readings

Assignments

Lecture 1: Introduction (Peter Szolovits)

Lecture 2: Nature of clinical data (Peter Szolovits)

Lecture 3: Standards (Peter Szolovits)

Lecture 4: Data in narrative text (Peter Szolovits)

Lecture 5: Gene, expression and protein data (Alvin Kho)

Lecture 6: Genes and modeling (Alvin Kho)

Lecture 7: Building models (Peter Szolovits)

Lecture 8: Probabilistic and graphical models (Peter Szolovits)

Lecture 9: Information theoretic metrics (Gil Alterovitz)

Lecture 10: Decision support via probabilities and utilities (Peter Szolovits)

Lecture 11: Decision support via expert systems (Peter Szolovits)

Lecture 12: Using the healthcare enterprise for research (Isaac Kohane)

Lecture 13: Personally controlled health records (Kenneth Mandl)

Lecture 14: Modeling with bayesian networks (Peter Szolovits)

Lecture 15: Patient monitoring and intensive care (Leo Celi)

Lecture 16: HIT in the developing world (Hamish Fraser)

Lecture 17: Learning bayesian networks (Peter Szolovits)

Lecture 18: Informatics in radiology (Ronilda Lacson)

Lecture 19: Predictive genomics (Michael McGeachie)

Lecture 20: Patient Data Privacy (Peter Szolovits and Chris Cassa)

Lecture 21: Public health Informatics (John Brownstein)

Lecture 22: Computer science challenges from health care (Peter Szolovits)

Lecture 23: Networks (Gil Alterovitz)

Lecture 26: No class