| 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 |
Calendar
Course Info
As Taught In
Spring
2003
Level
Topics
Learning Resource Types
assignment_turned_in
Problem Sets with Solutions
grading
Exams
notes
Lecture Notes
assignment
Programming Assignments