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Data Mining and Analytics in Healthcare Management : Applications and Tools

by David L. Olson, Özgür M. Araz
Chapter 1: Urgency in Healthcare Data Analytics -- Chapter 2: Analytics and Knowledge Management in Healthcare -- Chapter 3: Visualization -- Chapter 4: Association Rules -- Chapter 5: Cluster Analysis -- Chapter 6: Time Series Forecasting -- Chapter 7: Classification Models -- Chapter 8: Applications of Predictive Data Mining in Healthcare -- Chapter 9: Decision Analysis and Applications in Healthcare -- Chapter 10: Analysis of Four Medical Datasets -- Chapter 11: Multiple Criteria Decision Models in Healthcare- Chapter 12: Naïve Bayes Models in Healthcare -- Chapter 13: Summation.
Year of publication:
2023
Authors: Olson, David L. ; Araz, Özgür M.
Publisher: 2023.: Cham : Springer Nature Switzerland
2023.: Cham : Imprint: Springer
Subject: Data visualizaiton | Healthcare analytics | Multicriteria decision making | Prescriptive data mining | Association rules | Classification models | Decision analysis | Descriptive data mining | Cluster analysis | Forecasting | Business Analytics | Data Mining | Data mining | Management-Informationssystem | Management information system | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Clusteranalyse | Informationsmanagement | Information management | Gesundheitswesen | Health care system | Statistische Methode | Statistical method
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Extent:
1 Online-Ressource (X, 191 p. 64 illus., 59 illus. in color.)
Series:
Type of publication: Book / Working Paper
Language: English
ISBN: 978-3-031-28113-6 ; 978-3-031-28112-9 ; 978-3-031-28114-3 ; 978-3-031-28115-0
Other identifiers:
10.1007/978-3-031-28113-6 [DOI]
Source:
ECONIS - Online Catalogue of the ZBW
Persistent link: https://www.econbiz.de/10014248696
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