Data Driven Approaches for Healthcare Machine Learning for Identifying High Utilizers |
|
| Author:
| Yang, Chengliang
Delcher, Chris
Shenkman, Elizabeth
Ranka, Sanjay |
| Series title: | Chapman and Hall/CRC Big Data Ser. |
| ISBN: | 978-1-000-70003-9 |
| Publication Date: | Oct 2019 |
| Publisher: | CRC Press LLC
|
| Imprint: | Chapman & Hall/CRC |
| Book Format: | Digital (delivered electronically) |
| List Price: | USD $59.95USD $220.00USD $300.00 |
Book Description:
|
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.
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.