Data Mining and Analytics in Healthcare Management - Applications and Tools (1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	International Series in Operations Research & Management Science, 341
Release date:	May 2023
Authors:	David L. Olson • Özgür M. Araz
Dimensions:	235 x 155mm (L x W)
Pages:	189
Edition:	1st ed. 2023
ISBN-13:	978-3-03-128112-9
Categories:	Books
LSN:	3-03-128112-8
Barcode:	9783031281129

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!