Medical Decision Support

A diagram showing how to interpret the results of an ECG.

Electrocardiogram interpretation diagram. (Figure by Prof. Lucila Ohno-Machado.)

Instructor(s)

MIT Course Number

HST.951J / 6.873J

As Taught In

Fall 2005

Level

Graduate

Cite This Course

Course Features

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 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.

Ohno-Machado, Lucila, and Staal Vinterbo. HST.951J Medical Decision Support, Fall 2005. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/health-sciences-and-technology/hst-951j-medical-decision-support-fall-2005 (Accessed). License: Creative Commons BY-NC-SA


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