Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Author: Pradeep N

Published: June 10, 2021

ISBN: 9780128216330, 9780128220443

Language: English

Publisher: Elsevier Science

Book Overview:

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. This comprehensive guide covers various techniques, methodologies, and algorithms to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics.

Book Structure:

The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development.

Case Study Approach:

The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians.

Target Audience:

This book is a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies. It includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics.

Unique Selling Point:

The unique case study approach provides readers with insights for practical clinical implementation, making it an essential read for those looking to advance their knowledge in healthcare analytics.