Olson David L., Araz Özgür M. Data Mining and Analytics in Healthcare Management: Applications and Tools

Springer, 2023. — 348 p. — (International Series in Operations Research & Management Science). — ISBN 978-3-031-28113-6.This book presents data mining methods in the field of healthcare management in a practical way. Healthcare quality and disease prevention are essential in today’s world. Healthcare management faces a number of challenges, e.g. reducing patient growth through disease prevention, stopping or slowing disease progression, and reducing healthcare costs while improving quality of care. The book provides an overview of current healthcare management problems and highlights how analytics and knowledge management have been used to better cope with them. It then demonstrates how to use descriptive and predictive analytics tools to help address these challenges. In closing, it presents applications of software solutions in the context of healthcare management.Given its scope, the book will appeal to a broad readership, from researchers and students in the operations research and management field to practitioners such as data analysts and decision-makers who work in the healthcare sector.Urgency in Healthcare Data Analytics
Analytics and Knowledge Management in Healthcare
Visualization
Association Rules
Cluster Analysis
Time Series Forecasting
Classification Models
Applications of Predictive Data Mining in Healthcare
Decision Analysis and Applications in Healthcare
Analysis of Four Medical Datasets
Multiple Criteria Decision Models in Healthcare
Naïve Bayes Models in Healthcare
Summation