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Data Driven Approaches for Healthcare
- Machine learning for Identifying High Utilizers
Engelsk
Bogcover for Data Driven Approaches for Healthcare af Elizabeth Shenkman, Sanjay Ranka, Chengliang Yang, Chris Delcher, 9781032088686
Specifikationer
Sprog:
Engelsk
Sider:
120
ISBN-13:
9781032088686
Indbinding:
Paperback
ISBN-10:
1032088680
Kategori:
Udg. Dato:
30 jun 2021
Størrelse i cm:
25,4 x 17,8
Oplagsdato:
30 jun 2021

Data Driven Approaches for Healthcare

- Machine learning for Identifying High Utilizers
Engelsk
Paperback 2021
Format:

Bog beskrivelse

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
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    Specifikationer
    Sprog:
    Engelsk
    Sider:
    120
    ISBN-13:
    9781032088686
    Indbinding:
    Paperback
    ISBN-10:
    1032088680
    Kategori:
    Udg. Dato:
    30 jun 2021
    Størrelse i cm:
    25,4 x 17,8
    Oplagsdato:
    30 jun 2021
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