Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers (Chapman & Hall/CRC Big Data Series) - Hardcover

Book 10 of 13: Chapman & Hall/CRC Big Data Series

Yang, Chengliang; Delcher, Chris; Shenkman, Elizabeth; Ranka, Sanjay

 
9780367342906: Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers (Chapman & Hall/CRC Big Data Series)
Hardcover
ISBN 10: 0367342901 ISBN 13: 9780367342906
Publisher: Chapman and Hall/CRC, 2019

Synopsis

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:

  • Introduces basic elements of health care data, especially for administrative claims data, including disease code, procedure codes, and drug codes
  • Provides tailored supervised and unsupervised machine learning approaches for understanding and predicting the high utilizers
  • Presents descriptive data driven methods for the high utilizer population
  • Identifies a best-fitting linear and tree-based regression model to account for patients’ acute and chronic condition loads and demographic characteristics

    • "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 this title" may belong to another edition of this title.

    Publisher
    Chapman and Hall/CRC
    Publication date
    2019
    Language
    English
    ISBN 10 
    0367342901
    ISBN 13 
    9780367342906
    Binding
    Hardcover
    Edition number
    1
    Number of pages
    118

    Other Popular Editions of the Same Title

    9781032088686: Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers (Chapman & Hall/CRC Big Data Series)

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    ISBN 10:  1032088680 ISBN 13:  9781032088686
    Publisher: Routledge, 2021
    Softcover