9783030316716-3030316718-Big Data Analytics in Healthcare (Studies in Big Data, 66)

Big Data Analytics in Healthcare (Studies in Big Data, 66)

ISBN-13: 9783030316716
ISBN-10: 3030316718
Edition: 1st ed. 2020
Author: Ajith Abraham, Albert Zomaya, Patrick Siarry, Anand J. Kulkarni, Mengjie Zhang, Pramod Kumar Singh, Fazle Baki
Publication date: 2019
Publisher: Springer
Format: Hardcover 198 pages
FREE US shipping
Buy

From $47.70

Book details

ISBN-13: 9783030316716
ISBN-10: 3030316718
Edition: 1st ed. 2020
Author: Ajith Abraham, Albert Zomaya, Patrick Siarry, Anand J. Kulkarni, Mengjie Zhang, Pramod Kumar Singh, Fazle Baki
Publication date: 2019
Publisher: Springer
Format: Hardcover 198 pages

Summary

Big Data Analytics in Healthcare (Studies in Big Data, 66) (ISBN-13: 9783030316716 and ISBN-10: 3030316718), written by authors Ajith Abraham, Albert Zomaya, Patrick Siarry, Anand J. Kulkarni, Mengjie Zhang, Pramod Kumar Singh, Fazle Baki, was published by Springer in 2019. With an overall rating of 4.2 stars, it's a notable title among other AI & Machine Learning (Data Processing, Databases & Big Data, Engineering, Administration & Medicine Economics, Computer Science) books. You can easily purchase or rent Big Data Analytics in Healthcare (Studies in Big Data, 66) (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations.

The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book