This course introduces the fundamental concepts and techniques of data mining with a focus on clinical applications. Students will explore how data warehousing and mining methods are applied to extract meaningful insights from healthcare data. The course covers the architecture and processes of data warehousing, data preprocessing, and online analytical processing (OLAP). Key data mining topics include classification, prediction, clustering, association rule mining, and outlier detection, with a
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