書目名稱 | Data Mining and Analytics in Healthcare Management |
副標題 | Applications and Too |
編輯 | David L. Olson,?zgür M. Araz |
視頻video | http://file.papertrans.cn/263/262912/262912.mp4 |
概述 | Offers a comprehensive overview of healthcare data mining and analytics.Demonstrates software solutions using real-life data.Showcases practical healthcare management applications and tools |
叢書名稱 | International Series in Operations Research & Management Science |
圖書封面 |  |
描述 | .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.. |
出版日期 | Book 2023 |
關鍵詞 | Data visualizaiton; Healthcare analytics; Multicriteria decision making; Prescriptive data mining; Assoc |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-28113-6 |
isbn_softcover | 978-3-031-28115-0 |
isbn_ebook | 978-3-031-28113-6Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
issn_series | 0884-8289 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |