Machine learning and analytics in healthcare systems : principles and applications / edited by Bansal Himani, Balamurugan Balusamy, T. Poongodi, and Firoz Khan KP.

Format:

Book

Contributor:

Himani, Bansal, editor.

Balusamy, Balamurugan, editor.

Poongodi, T., editor.

Khan KP, Firoz, editor.

Series:

Green engineering and technology.

Green engineering and technology: concepts and applications

Language:

English

Subjects (All):

Machine learning.

Medical informatics.

Physical Description:

1 online resource (xii, 261 pages) : illustrations (chiefly color)

Edition:

First editlion.

Place of Publication:

Boca Raton : CRC Press, 2021.

Summary:

"This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications"-- Provided by publisher.

Contents:

Intro

Cover

Half-Title

Series

Title

Copyright

Contents

Preface

Editors

Contributors

Chapter 1 Data Analytics in Healthcare Systems â€" Principles, Challenges, and Applications

Chapter 2 Systematic View and Impact of Machine Learning in Healthcare Systems

Chapter 3 Foundation of Machine Learning-Based Data Classification Techniques for Health Care

Chapter 4 Deep Learning for Computer-Aided Medical Diagnosis

Chapter 5 Machine Learning Classifiers in Health Care

Chapter 6 Machine Learning Approaches for Analysis in Healthcare Informatics

Chapter 7 Prediction of Epidemic Disease Outbreaks, Using Machine Learning

Chapter 8 Machine Learningâ€"Based Case Studies for Healthcare Analytics: Electronic Health Records, Smart Health Monitoring, Disease Prediction, Precision Medicine, and Clinical Support Systems

Chapter 9 Applications of Computational Methods and Modeling in Drug Delivery

Chapter 10 Healthcare Data Analytics Using Business Intelligence Tool

Chapter 11 Machine Learning-Based Data Classification Techniques in Healthcare Using Massive Online Analysis Framework

Chapter 12 Prediction of Coronavirus (COVID-19) Disease Health Monitoring with Clinical Support System and Its Objectives

Index.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-00-318524-X

1-000-40619-9

1-003-18524-X

1-000-40620-2

9781003185246

OCLC:

1255238645