HST.951J | Spring 2003 | Graduate
Medical Decision Support

Calendar

LEC # TOPICS
1 Introduction to Medical Decision Support
2 Simple Probabilistic Reasoning
3 Fuzzy & Rough Sets - Part 1
4 Fuzzy & Rough Sets - Part 2
5 Bayesian Networks - Part 1: Representation & Reasoning
6 Bayesian Networks - Part 2: Learning From Data
7 Logistic Regression - Part 1
8 Logistic Regression - Part 2
9 Unsupervised Learning
10 Classification Trees & CART
11 Artificial Neural Networks
12 Support Vector Machines
13 Evaluation of Predictive Models - Part 1
14 Evaluation of Predictive Models - Part 2
15 Optimization and Complexity
16 Survival Analysis
17 Review of Predictive Methods

Midterm Exam
18 Review of Complexity
19 Applied Informatics in Cardiology
20 Review of Clustering
21 Student Presentations
22 Student Presentations
23 Student Presentations
Learning Resource Types
assignment_turned_in Problem Sets with Solutions
grading Exams
notes Lecture Notes
assignment Programming Assignments