Data Mining and Analytics in Healthcare Management

Applications and Tools de

,

Éditeur :

Springer


Collection :

International Series in Operations Research & Management Science

Paru le : 2023-04-20

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Description

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.

Pages
191 pages
Collection
International Series in Operations Research & Management Science
Parution
2023-04-20
Marque
Springer
EAN papier
9783031281129
EAN PDF
9783031281136

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
6502 Ko
Prix
68,56 €
EAN EPUB
9783031281136

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
18555 Ko
Prix
68,56 €