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Data Driven Approaches for Healthcare (Machine learning for Identifying High Utilizers)
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$66.99
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Product Details
Author:
Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka
Format:
Paperback
Pages:
120
Publisher:
CRC Press (June 30, 2021)
Language:
English
ISBN-13:
9781032088686
Weight:
7.875oz
Dimensions:
7" x 10"
File:
TAYLORFRANCIS-TayFran_260218053029069-20260218.xml
Folder:
TAYLORFRANCIS
List Price:
$66.99
Country of Origin:
United States
Series:
Chapman & Hall/CRC Big Data Series
Case Pack:
10
As low as:
$63.64
Publisher Identifier:
P-CRC
Discount Code:
H
Pub Discount:
30
Imprint:
Chapman and Hall/CRC
Overview
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.
