Quantitative and symbolic approaches to medical decision-making. Statistical methods (discriminant functions, Bayes theorem), decision analysis, utility theory, artificial intelligence, and expert systems. Survey of operational decision-making systems; strengths and weaknesses of a group of approaches. Expert system techniques used in medical decision-making. Conceptual framework for computer-based medical decision-making. Student works with an expert in a medical discipline to conceive and develop an operational expert system.
This noncredit class meets with a regular University of Utah credit course.