Data Mining and Analytics in Healthcare Management

David L. Olson () and Özgür M. Araz ()
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David L. Olson: University of Nebraska–Lincoln
Özgür M. Araz: University of Nebraska–Lincoln

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2023
ISBN: 978-3-031-28113-6
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Chapters in this book:

Ch Chapter 1 Urgency in Healthcare Data Analytics

David L. Olson and Özgür M. Araz

Ch Chapter 10 Analysis of Four Medical Datasets

David L. Olson and Özgür M. Araz

Ch Chapter 11 Multiple Criteria Decision Models in Healthcare

David L. Olson and Özgür M. Araz

Ch Chapter 12 Naïve Bayes Models in Healthcare

David L. Olson and Özgür M. Araz

Ch Chapter 13 Summation

David L. Olson and Özgür M. Araz

Ch Chapter 2 Analytics and Knowledge Management in Healthcare

David L. Olson and Özgür M. Araz

Ch Chapter 3 Visualization

David L. Olson and Özgür M. Araz

Ch Chapter 4 Association Rules

David L. Olson and Özgür M. Araz

Ch Chapter 5 Cluster Analysis

David L. Olson and Özgür M. Araz

Ch Chapter 6 Time Series Forecasting

David L. Olson and Özgür M. Araz

Ch Chapter 7 Classification Models

David L. Olson and Özgür M. Araz

Ch Chapter 8 Applications of Predictive Data Mining in Healthcare

David L. Olson and Özgür M. Araz

Ch Chapter 9 Decision Analysis and Applications in Healthcare

David L. Olson and Özgür M. Araz

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DOI: 10.1007/978-3-031-28113-6

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