MIT
Lecture 11: Differential Diagnosis
Data Science, Analytics & Computer TechnologyAIUser ExperienceMachine LearningComputer ScienceHealth & Medicine
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Prof. Szolovits explains differential diagnosis, the distinguishing of a condition from others with similar features. He covers models of diagnostic reasoning: flow charts, card selection, naive Bayes, bipartite graphs, QMR DT, and reinforcement learning. Speaker: Peter Szolovits Lecture 11: Machine Learning for Differential Diagnosis slides (PDF - 1.8MB)