Cognitive intelligence and big data in healthcare / edited by D. Sumathi, T. Poongodi, B. Balamurugan and Lakshmana Kumar Ramasamy.
Contributor(s): Sumathi, D [editor.]
Language: English Publisher: Hoboken, NJ : Beverly, MA : Wiley ; Scrivener Publishing, 2022Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119768883 ; 9781119771982; 1119771986Subject(s): Artificial intelligence -- Medical applications | Big data | Computational intelligenceGenre/Form: Electronic books.DDC classification: 610.285/63 LOC classification: R859.7.A78Online resources: Link text Full text is available at Wiley Online Library Click here to view Summary: Applications of cognitive intelligence, advanced communication, and computational methods can drive healthcare research and enhance existing traditional methods in disease detection and management and prevention. As health is the foremost factor affecting the quality of human life, it is necessary to understand how the human body is functioning by processing health data obtained from various sources more quickly. Since an enormous amount of data is generated during data processing, a cognitive computing system could be applied to respond to queries, thereby assisting in customizing intelligent recommendations. This decision-making process could be improved by the deployment of cognitive computing techniques in healthcare, allowing for cutting-edge techniques to be integrated into healthcare to provide intelligent services in various healthcare applications. This book tackles all these issues and provides insight into these diversified topics in the healthcare sector and shows the range of recent innovative research, in addition to shedding light on future directions in this area.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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EBOOK
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COLLEGE LIBRARY | COLLEGE LIBRARY | 610.28563 C659 2022 (Browse shelf) | Available |
Includes index.
Applications of cognitive intelligence, advanced communication, and computational methods can drive healthcare research and enhance existing traditional methods in disease detection and management and prevention.
As health is the foremost factor affecting the quality of human life, it is necessary to understand how the human body is functioning by processing health data obtained from various sources more quickly. Since an enormous amount of data is generated during data processing, a cognitive computing system could be applied to respond to queries, thereby assisting in customizing intelligent recommendations. This decision-making process could be improved by the deployment of cognitive computing techniques in healthcare, allowing for cutting-edge techniques to be integrated into healthcare to provide intelligent services in various healthcare applications.
This book tackles all these issues and provides insight into these diversified topics in the healthcare sector and shows the range of recent innovative research, in addition to shedding light on future directions in this area.
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