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Browse materialsMIT HST.951J · Fall 2005

Medical Decision Support

Subjects: Artificial Intelligence · Biology · Technology

Art: Vesal b, 1538 · Public domain

Instructors: Prof. Lucila Ohno-Machado, Prof. Staal Vinterbo
Term: Fall 2005
Level: Graduate
What's inside: 1 lecture note · 24 other files · 3 web pages
Materials open: MIT OCW

Other versions of this course

HST.951J · Fall 2005 · Study here (this version)
HST.951J · Spring 2003 · Study here

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About this course

Source: MIT OpenCourseWare HST.951J Medical Decision Support, Fall 2005, Prof. Lucila Ohno-Machado, Prof. Staal Vinterbo — 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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Lecture Notes

16 files

Projects

Other materials from this course

MIT OpenCourseWare, Prof. Lucila Ohno-Machado, Prof. Staal Vinterbo, HST.951J Medical Decision Support, Fall 2005.

License: CC BY-NC-SA 4.0 · Edition: Fall 2005 · Open the original course on OCW ↗

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Medical Decision Support

Before you start

What's here, and what isn't

Not included here

Materials by section

Lecture Notes

Projects

Other materials from this course

Lecture 1: Introduction to Course

Lecture 2: Decision Analysis 1

Lecture 3: Decision Analysis 2, Linear Regression

Lecture 4: Predictive Modeling, Data Collection

Lecture 5: Logistic Regression, MLE

Lecture 6: Evaluation

Lecture 7: Instance-based Models 1 - kNN

Lecture 8: Instance-based Models 2 - Trees and Rules

Lecture 9: Homework 2 - Trees and Rules

Lecture 10: Ensemble Models

Lecture 11: PCA, LDA

Lecture 12: Unsupervised Learning

Lecture 13: Neural Networks

Lecture 14: Homework 2 - Trees and Rules

Lecture 15: Review

Lecture 16: Survival Analysis

Lecture 17: Statistical Learning Theory

Lecture 18: Model Construction Schemas 1

Lecture 19: Model Construction Schemas 2

Lecture 20: Preprocessing Algorithms 1

Lecture 21: Preprocessing Algorithms 2

Lecture 22: Analysis of Problems, Complexity

Lecture 23: Search Algorithms

Lecture 24: Bioinformatics 1 (Hypothesis Generation, Sequence Alignment)

Lecture 25: Bioinformatics 2 (Phylogenetic Trees, Haplotype Tagging)

Lecture 26: Student Project Presentation 1

Lecture 27: Student Project Presentation 2