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

Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers (Hardback)

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

  • RRP: $284.00
  • $284.00
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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 impo...rtant 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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ISBN 9780367342906
Released AU 10 Oct 2019
Publisher Taylor & Francis Ltd
Format Hardback
Series Chapman & Hall/Crc Big Data Series
Availability
Pre-order title, release date has been delayed

Full details for this title

ISBN-13 9780367342906
Stock Available
Status Pre-order title, release date has been delayed
Publisher Taylor & Francis Ltd
Imprint CRC Press
Released 10 Oct 2019
Publication Country United Kingdom United Kingdom
Format Hardback
Author(s) By Yang, Chengliang
By Delcher, Chris
By Shenkman, Elizabeth
By Ranka, Sanjay
Series Chapman & Hall/Crc Big Data Series
Category Health Systems & Services
Automatic Control Engineering
General Theory of Computing
Systems Management
Computer Communications & Networking
Applications of Computing
Databases
Health & Safety Aspects Of Computing
Number of Pages 108
Dimensions Width: 178mm
Height: 254mm
Dewey Code 362.10285631
Weight 386g
Interest Age 19+ years
Reading Age 19+ years
Library of Congress Medical care - Utilization - Data processing, Medical care - Utilization review, Machine learning
NBS Text Computing: Textbooks & Study Guides
ONIX Text College/higher education

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