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

By: Chengliang Yang (Author) , Chris Delcher (Author) , Elizabeth Shenkman (Author) , Sanjay Ranka (Author)

Manufacture on Demand

Ksh 11,900.00

Format: Paperback or Softback

ISBN-10: 1032088680

ISBN-13: 9781032088686

Collection / Series: Chapman & Hall/CRC Big Data Series

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 30th, 2021

Publication Status: Active

Product extent: 120 Pages

Weight: 222.00 grams

Product Classification / Subject(s): Health & safety aspects of IT
Databases
Machine learning

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  • Description

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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.

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

    • Get Data Driven Approaches for Healthcare by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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