HST.951J | Fall 2005 | Graduate

Medical Decision Support

Calendar

Lec # Topics KEY DATES
1 Introduction to Course

2 Decision Analysis 1

3 Decision Analysis 2, Linear Regression

4 Predictive Modeling, Data Collection

5 Logistic Regression, MLE

6 Evaluation

7 Instance-based Models 1 - kNN

8 Instance-based Models 2 - Trees and Rules

9 Homework 2 - Trees and Rules

10 Ensemble Models

11 PCA, LDA

12 Unsupervised Learning

13 Neural Networks

14 Homework 2 - Trees and Rules Assignment due
15 Review

16 Survival Analysis

Midterm

17 Statistical Learning Theory

18 Model Construction Schemas 1

19 Model Construction Schemas 2

20 Preprocessing Algorithms 1

21 Preprocessing Algorithms 2

22 Analysis of Problems, Complexity

23 Search Algorithms

24 Bioinformatics 1 (Hypothesis Generation, Sequence Alignment)

25 Bioinformatics 2 (Phylogenetic Trees, Haplotype Tagging)

26 Student Project Presentation 1

27 Student Project Presentation 2