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Data Driven Approaches For Healthcare

Machine Learning For Identifying High Utilizers

by Sanjay Ranka, Elizabeth Shenkman, Chris Delcher e Chengliang Yang
language: english
Publisher: TAYLOR & FRANCIS LTD, June of 2021 ‧
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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.

Data Driven Approaches For Healthcare

Machine Learning For Identifying High Utilizers

by Sanjay Ranka, Elizabeth Shenkman, Chris Delcher e Chengliang Yang

Property Description
ISBN: 9781032088686
Publisher: TAYLOR & FRANCIS LTD
Release Date: June of 2021
Language: English
Dimensions: 178 x 254 x 20 mm
Cover: Softcover
Pages: 120
Format: Book
Collection: Chapman & Hall/Crc Big Data Series
Categories: Books in English > Others
EAN: 9781032088686

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