Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics - Concepts, Methodologies, Tools and Applications

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics is a comprehensive book that covers developments and state-of-the-art methods in the field. It discusses the novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector, including computer science, medicine, biology, natural environmental engineering, and pattern recognition. The book is organized into 12 chapters, covering topics such as IoT for biomedical engineering and health informatics, computational intelligence for medical data processing, and IoMT. It is a valuable resource for researchers and practitioners working in these fields.

Format: Hardback
Length: 352 pages
Publication date: 24 August 2022
Publisher: John Wiley & Sons Inc

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics is a comprehensive book that provides an in-depth exploration of the latest developments and state-of-the-art methods in the field of data analytics and their applications in biomedical and health informatics. This emerging field encompasses a wide range of disciplines, including computer science, medicine, biology, natural environmental engineering, and pattern recognition, and aims to leverage the vast amount of biomedical data available to improve healthcare outcomes.

The book is organized into 12 chapters, each covering a different aspect of big data analytics and machine intelligence in biomedical and health informatics. These chapters are arranged in a logical and coherent manner, with topics ranging from the Internet of Things (IoT) for biomedical engineering and health informatics to computational intelligence for medical data processing and the Internet of Medical Things (IoMT).

The book is designed to benefit both new researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, IoT, and machine learning. It offers a valuable resource for those seeking to stay up-to-date with the latest advancements and best practices in this rapidly evolving field.

One of the key strengths of the book is its comprehensive coverage of the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. The chapters are written by experts in their respective fields, ensuring that the content is both authoritative and up-to-date. The book also includes case studies and practical examples to illustrate the applications of these methods in real-world scenarios, making it easier for readers to understand and apply the concepts discussed.

In conclusion, Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics is a must-read for anyone interested in the field of data analytics and its applications in biomedical and health informatics. With its comprehensive coverage, authoritative content, and practical examples, this book provides a valuable resource for researchers, practitioners, and students alike.

Weight: 616g
Dimension: 237 x 161 x 26 (mm)
ISBN-13: 9781119791737