Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers - Paperback
$108.52
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Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers - Paperback
$108.52
by Chengliang Yang (Author), Chris Delcher (Author), Elizabeth Shenkman (Author)
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.
Author Biography
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.
Number of Pages: 120
Dimensions: 0.25 x 10 x 7 IN
Publication Date: June 30, 2021
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