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

The book "Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics" explores the evolving landscape of data utilization in clinical healthcare, presenting techniques and methodologies for organizing and analyzing large datasets. It covers big data aspects, deep learning, and machine learning frameworks and applications, with real-world case studies as a reference for professionals in the field.

Format: Paperback / softback
Length: 372 pages
Publication date: 14 June 2021
Publisher: Elsevier Science Publishing Co Inc

The book "Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics" delves into the ever-evolving realm of data utilization, particularly in the context of clinical healthcare. It offers a comprehensive exploration of various techniques, methodologies, and algorithms aimed at structuring data in a manner that facilitates effective patient care and enhances the understanding of biomedical engineers and computer scientists regarding the impact of these techniques on healthcare analytics.

The book is organized into two distinct parts. Part 1 focuses on the aspects of big data, encompassing healthcare decision support systems and analytics-related topics. It provides a comprehensive overview of the key challenges and opportunities associated with managing and analyzing large datasets in healthcare. Part 2 delves into the current frameworks and applications of deep learning and machine learning, offering a comprehensive perspective on their use in healthcare. It also provides an outlook on the future directions of research and development in this field.

One of the notable features of the book is its case study approach. Each chapter includes a wealth of real-world case studies that serve as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. These case studies illustrate the practical applications of the discussed techniques and algorithms, allowing readers to gain a deeper understanding of their potential benefits and limitations in healthcare settings.

Overall, "Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics" is a valuable resource for anyone interested in leveraging data to improve healthcare outcomes. It provides a comprehensive and up-to-date understanding of these cutting-edge technologies, their applications, and their potential implications for the future of healthcare analytics. Whether you are a healthcare professional, researcher, or engineer, this book will undoubtedly provide you with valuable insights and tools to navigate the complex world of big data, machine learning, and deep learning in healthcare.

Weight: 764g
Dimension: 191 x 232 x 27 (mm)
ISBN-13: 9780128216330