Cognitive Intelligence and Big Data in Healthcare

Cognitive intelligence and big data in healthcare can drive research and enhance disease detection, management, and prevention. This book discusses the application of cognitive computing techniques to respond to queries and provide intelligent recommendations, improving decision-making processes in healthcare. It is useful for specialists in artificial intelligence, bioinformatics, information technology, and biomedicine.

Format: Hardback
Length: 416 pages
Publication date: 30 August 2022
Publisher: John Wiley & Sons Inc

Cognitive intelligence and big data in healthcare hold immense potential for driving advancements in research, disease detection, management, and prevention. By leveraging advanced communication and computational methods, healthcare professionals can enhance traditional approaches and explore new avenues for improving human health.

Health, as the primary determinant of quality of life, demands a deeper understanding of the human body's functioning through efficient processing of health data from diverse sources. With the generation of vast amounts of data during data processing, cognitive computing systems emerge as powerful tools to address queries and provide personalized recommendations. Deploying cognitive computing techniques in healthcare can revolutionize decision-making processes, enabling the integration of cutting-edge technologies to deliver intelligent services across various healthcare applications.

This comprehensive book addresses these critical topics and provides a comprehensive overview of the healthcare sector, showcasing recent innovative research and offering insights into future directions. It caters to a wide audience, including researchers, engineers, postgraduate students in artificial intelligence, bioinformatics, information technology, and biomedicine. By delving into these diverse topics, the book equips professionals with the knowledge and tools necessary to thrive in the rapidly evolving field of healthcare.

Weight: 657g
Dimension: 229 x 152 x 24 (mm)
ISBN-13: 9781119768883