Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers - Rilegato

Libro 10 di 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
Rilegato
ISBN 10: 0367342901 ISBN 13: 9780367342906
Casa editrice: Chapman and Hall/CRC, 2019

Sinossi

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

    • Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

    Informazioni sull?autore

    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.

    Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

    Editore
    Chapman and Hall/CRC
    Data di pubblicazione
    2019
    Lingua
    Inglese
    ISBN 10 
    0367342901
    ISBN 13 
    9780367342906
    Rilegatura
    Copertina rigida
    Numero edizione
    1
    Numero di pagine
    118
    Contatto del produttore
    non disponibile
    Persona responsabile
    Buchpark GmbH
    gpsr@buchpark.de

    Krügerweg 1
    Trebbin
    Brandenburg
    14959
    Germania

    Altre edizioni note dello stesso titolo

    9781032088686: Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers

    Edizione in evidenza

    ISBN 10:  1032088680 ISBN 13:  9781032088686
    Casa editrice: Routledge, 2021
    Brossura