Machine Learning in Healthcare: A Comprehensive Guide

Written by Sachi Nandan Mohanty, G. Nalinipriya, Om Prakash Jena, and Achyuth Sarkar, this book aims to present a concise and intensive overview of machine learning in the field of healthcare. By focusing on detailed computer simulations and explanations of program code, this approach differs from others in the field.

Unique Chapters and Applications

The book includes distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of algorithmic working and strengthen logical thinking. In today’s environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools.

Data Integration and Middleware Systems

Data integration is a dynamic research area in the database community. The specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment. This book provides a comprehensive description of issues for healthcare data management and an overview of existing systems, making it suitable for introductory and instructional purposes.

Who is this Book For?

This book is intended to be useful to a wide audience, including students, researchers, and scientists from both academia and industry. The prerequisites are minimal, with readers expected to have basic knowledge of machine learning.

Real-Time Innovative Chapters

The book is divided into 22 real-time innovative chapters, providing a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customer needs. The presented approaches provide a comprehensive overview of current technology. Each chapter, written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order.

Each of the chapters uses various technical terms, involving expertise in machine learning and computer science. This book provides a valuable resource for those looking to understand the applications of machine learning in healthcare.

Product Details

Publisher: Wiley-Scrivener
Edition: 1st edition (April 13, 2021)
Language: English
Hardcover: 416 pages
ISBN-10: 1119791812
ISBN-13: 978-1119791812