Data Driven Approaches for Healthcare

Machine learning for Identifying High Utilizers

This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges posed by this problem.

Juni 2021, ca. 120 Seiten, Chapman & Hall/CRC Big Data Series, Englisch
Taylor and Francis
978-1-03-208868-6

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