HST.951J | Spring 2003 | Graduate

Medical Decision Support

Lecture Notes

LEC # TOPICS
1 Introduction to Medical Decision Support (PDF - 7.2 MB)
2 Simple Probabilistic Reasoning (PDF)
3 Fuzzy & Rough Sets - Part 1 (PDF)
4 Fuzzy & Rough Sets - Part 2 (PDF)
5 Bayesian Networks - Part 1: Representation & Reasoning (PDF)
6 Bayesian Networks - Part 2: Learning From Data (PDF)
7 Logistic Regression - Part 1 (PDF - 6 MB)
8 Logistic Regression - Part 2 (PDF - 6 MB)
9 Unsupervised Learning
10 Classification Trees & CART (PDF)
11 Artificial Neural Networks (PDF - 2.1 MB)
12 Support Vector Machines (PDF - 1.2 MB)
13 Evaluation of Predictive Models - Part 1 (PDF)
14 Evaluation of Predictive Models - Part 2 (PDF)
15 Optimization and Complexity (PDF)
16 Survival Analysis (PDF)
17 Review of Predictive Methods (PDF)
  Midterm Exam
18 Review of Complexity
19 Applied Informatics in Cardiology (PDF)
20 Review of Clustering (PDF)
21 Student Presentations
22 Student Presentations
23 Student Presentations
Learning Resource Types
Problem Sets with Solutions
Exams
Lecture Notes
Programming Assignments