Interested in medical decision making? HST has an IAP subject of interest to Sloan students.

HST.192 Medical Decision Analysis and Probabilistic Medical Inference
Units: 2-0-2 [P/D/F]
Ends Jan 26. Lecture: TR2-5 (MGH – main campus)
Teaches the essentials of quantitative diagnostic reasoning and medical decision analysis. Guides participants through the process of choosing an appropriate contemporary medical problem in which risk-benefit tradeoffs play a prominent role, conducting a decision analysis, and ultimately publishing the results in a medical journal. Topics include decision trees, influence diagrams, Markov decision models and Monte Carlo simulation, methods for quantifying patient values, Bayesian inference, decision thresholds, and the cognitive science of medical decision making. HST.191 recommended. Limited to 8; preference to HST students.
M. B. Westover, P. Kazemian

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How an analytics-based predictive model can improve kidney transplant survival rates
Graphic design by Mimi Phan

In the U.S., around 16,000 kidney transplants are performed each year. Yet 100,000 Americans are on the transplant waiting list.

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