| LEC # | LECTURES | KEY DATES |
|---|---|---|
| 1 | Introduction (Peter Szolovits) | Assignment 1: Clinical databases (posted) |
| 2 | Nature of clinical data (Peter Szolovits) | |
| 3 | Standards (Peter Szolovits) | |
| 4 | Data in narrative text (Peter Szolovits) |
Assignment 2: Extracting meaning from text (posted) Assignment 1: Clinical databases (due) |
| 5 | Gene, expression and protein data (Alvin Kho) | |
| 6 | Genes and modeling (Alvin Kho) | |
| 7 | Building models (Peter Szolovits) | Assignment 2: Extracting meaning from text (due) |
| 8 | Probabilistic and graphical models (Peter Szolovits) | |
| 9 | Information theoretic metrics (Gil Alterovitz) | Assignment 3: Gene expression and mathematical foundations (posted) |
| 10 | Decision support via probabilities and utilities (Peter Szolovits) | |
| 11 | Decision support via expert systems (Peter Szolovits) | |
| 12 | Using the healthcare enterprise for research (Isaac Kohane) | Assignment 3: Gene expression and mathematical foundations (due) |
| 13 | Personally controlled health records (Kenneth Mandl) | |
| 14 | Modeling with bayesian networks (Peter Szolovits) | Assignment 4: Project proposals (posted) |
| 15 | Patient monitoring and intensive care (Leo Celi) | |
| 16 | HIT in the developing world (Hamish Fraser) | Assignment 4: Project proposals (due) |
| 17 | Learning bayesian networks (Peter Szolovits) | |
| 18 | Informatics in radiology (Ronilda Lacson) | |
| 19 | Predictive genomics (Michael McGeachie) | |
| 20 | Patient Data Privacy (Peter Szolovits and Chris Cassa) | |
| 21 | Public health Informatics (John Brownstein) | |
| 22 | Computer science challenges from health care (Peter Szolovits) | |
| 23 | Networks (Gil Alterovitz) | |
| 24-25 | Final project presentation | |
| 26 | No class | Final project (due) |
