Machine Learning for Healthcare: Handling and Managing Data

Synopsis

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector. The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.

Copyright:

2021

Book Details

Book Quality:

Publisher Quality

Book Size:

204 Pages

ISBN-13:

9781000221886

Related ISBNs:

9780429330131, 9780367816896, 9780367352332, 9780367625719

Publisher:

CRC Press

Date of Addition:

12/09/20

Copyrighted By:

CRC Press

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet, Health, Mind and Body, Mathematics and Statistics, Medicine

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Rashmi Agrawal

Edited by:

Jyotir Moy Chatterjee

Edited by:

Abhishek Kumar

Edited by:

Pramod Singh Rathore

Edited by:

Dac-Nhuong Le