Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications

Big Data Analytics and Medical Information Systems explores the use of artificial intelligence and big data analytics in healthcare and medical sciences, covering topics such as medical data mining, classification, diagnosis, treatment, and prediction of diseases. It also covers social, behavioral, and medical fake news analytics to prevent medical misinformation.

Format: Paperback / softback
Length: 354 pages
Publication date: 24 May 2022
Publisher: Elsevier Science & Technology

Big Data Analytics and Medical Information Systems delve into the immense potential of artificial intelligence and big data analytics in the healthcare and medical sciences. This comprehensive book explores theories, methods, and approaches that harness data analytic techniques to analyze medical data, uncover meaningful patterns, and facilitate classification, diagnosis, treatment, and disease prediction. It delves into various topics, including field theories and concepts, the application of big medical data mining techniques, and their significance in disease classification, diagnosis, treatment, and prediction. Additionally, it addresses the critical realm of social, behavioral, and medical fake news analytics, aimed at preventing medical misinformation and myths. This invaluable resource is tailored for graduate students, researchers, and professionals in the biomedical field, providing them with a deep understanding of analytic tools to support their research endeavors.

Big Data Analytics and Medical Information Systems present the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences.

It focuses on theories, methods, and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers, and members of biomedical field who are interested in learning more about analytic tools to support their work.

Weight: 954g
Dimension: 275 x 301 x 25 (mm)
ISBN-13: 9780323919074