Data Driven Approaches for Healthcare : Machine learning for Identifying High Utilizers
Language: English
Published by Chapman And Hall/CRC, 2021
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Seller Inventory # 9781032088686
- Title
- Data Driven Approaches for Healthcare : Machine learning for Identifying High Utilizers
- Author
- Chengliang Yang
- Publisher
- Chapman And Hall/CRC
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1032088680
- ISBN 13
- 9781032088686
- Item weight
- 242 grams
- Dimensions
- 254x178x7 mm
- Series
- Book 10 of 13: Chapman & Hall/CRC Big Data Series
Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into disproportionate spending patterns. 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 uniquely posed by this problem.
Key Features:
"Synopsis" may belong to another edition of this title.
About the Author
Chengliang Yang, Department of Computer Science, University of Florida Chris Delcher, Institute of Child Health Policy, University of Florida Elizabeth Shenkman, Institute of Child Health Policy, University of Florida Sanjay Ranka, Department of Computer Science, University of Florida.
"About the title" may belong to another edition of this title.
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