An edition of Data Driven Approaches for Health Care (2019)

Data Driven Approaches for Health Care

Machine Learning for Identifying High Utilizers

by , , , and

Data Driven Approaches for Health Care
Chengliang Yang, Chris Delcher ...
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Last edited by MARC Bot
December 10, 2022 | History
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An edition of Data Driven Approaches for Health Care (2019)

Data Driven Approaches for Health Care

Machine Learning for Identifying High Utilizers

by , , , and

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Publish Date
Publisher
Taylor & Francis Group
Language
English
Pages
108

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Subjects

Medical care, Utilization, Mathematical models, Machine learning, Medical Overuse, Prevention & control, Statistics & numerical data, Theoretical Models, Machine Learning, Soins médicaux, Utilisation, Modèles mathématiques, Apprentissage automatique, BUSINESS & ECONOMICS, Industries, Service Industries, COMPUTERS, General, Computer Graphics, Game Programming & Design

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Edition Availability
Cover of: Data Driven Approaches for Healthcare
Data Driven Approaches for Healthcare
2021, Taylor & Francis Group
in English
Libraries near you: WorldCat
Cover of: Data Driven Approaches for Healthcare
Data Driven Approaches for Healthcare: Machine Learning Approaches for Identifying High Utilizers
2019, Taylor & Francis Group
in English
Libraries near you: WorldCat
Cover of: Data Driven Approaches for Healthcare
Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers
2019, Taylor & Francis Group
in English
Libraries near you: WorldCat
Cover of: Data Driven Approaches for Healthcare
Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers
2019, Taylor & Francis Group
in English
Libraries near you: WorldCat
Cover of: Data Driven Approaches for Healthcare
Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers
2019, Taylor & Francis Group
in English
Libraries near you: WorldCat
Cover of: Data Driven Approaches for Health Care
Data Driven Approaches for Health Care: Machine Learning for Identifying High Utilizers
2019, Taylor & Francis Group
in English
  • Not in Library
Libraries near you: WorldCat

Add another edition?

Book Details

Classifications

Library of Congress
RA410.6

The Physical Object

Number of pages
108
Weight
0.391

ID Numbers

Open Library
OL33679509M
ISBN 13
9780367342906
LCCN
2021702152
OCLC/WorldCat
1121596821

Source records

Better World Books record
marc_columbia MARC record

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History

Download catalog record: RDF / JSON
December 10, 2022 Edited by MARC Bot import existing book
September 20, 2021 Created by ImportBot import new book