HAP 780

Data Mining in Health Care. 3 credits

George Mason University · UGRD · Fall 2026

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An introductory course to data mining and knowledge discovery in health care. Methods for mining health care databases and synthesizing task-oriented knowledge from computer data and prior knowledge are emphasized. Topics include fundamental concepts of datamining, data preprocessing, classification and prediction (decision trees, attributional rules, Bayesian networks), constructive induction, cluster and association analysis, knowledge representation and visualization, and an overview of practical tools for discovering knowledge from medical data. These topics are illustrated by examples of practical applications in health care. Offered by Hlth Admin, Policy/Informatics . May not be repeated for credit. Equivalent to HI 780 .

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Class #george_mason-4384Fall 2026UGRD
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