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.

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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 \| Clusteranalyse \| Gesundheitswesen \| Health care system \| Multikriterielle Entscheidungsanalyse \| Multi-criteria analysis \| Management-Informationssystem \| Management information system \| Unternehmensanalyse \| Business analysis \| Gesundheitsversorgung \| Health care

Extent:	1 Online-Ressource (X, 191 p. 64 illus., 59 illus. in color.)
Series:	International Series in Operations Research & Management Science ; 341
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