HST.951J | Fall 2005 | Graduate
Medical Decision Support
Course Description
This course presents the main concepts of decision analysis, artificial intelligence, and predictive model construction and evaluation in the specific context of medical applications. The advantages and disadvantages of using these methods in real-world systems are emphasized, while students gain hands-on experience …
This course presents the main concepts of decision analysis, artificial intelligence, and predictive model construction and evaluation in the specific context of medical applications. The advantages and disadvantages of using these methods in real-world systems are emphasized, while students gain hands-on experience with application specific methods. The technical focus of the course includes decision analysis, knowledge-based systems (qualitative and quantitative), learning systems (including logistic regression, classification trees, neural networks), and techniques to evaluate the performance of such systems.
Learning Resource Types
notes Lecture Notes
group_work Projects with Examples
A diagram showing how to interpret the results of an ECG.
Electrocardiogram interpretation diagram. (Figure by Prof. Lucila Ohno-Machado.)