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

Author: Pradeep N

Book Overview: This book presents the changing world of data utilization, especially in clinical healthcare. It 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 comprehensive reference is designed for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies.

Key Features:– 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 case study approach provides readers with insights for practical clinical implementation.

Publication Details:– Publisher: Elsevier Science- Publication Date: June 10, 2021- Language: English- ISBN: 9780128216330- ISBN: 9780128220443