Cognitive Intelligence and Big Data in Healthcare
D. Sumathi, T. Poongodi, B. Balamurugan, Lakshmana Kumar Ramasamy, D. Sumathi, T. Poongodi, B. Balamurugan, Lakshmana Kumar Ramasamy
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Cognitive Intelligence and Big Data in Healthcare
D. Sumathi, T. Poongodi, B. Balamurugan, Lakshmana Kumar Ramasamy, D. Sumathi, T. Poongodi, B. Balamurugan, Lakshmana Kumar Ramasamy
Información del libro
COGNITIVE INTELLIGENCE AND BIG DATA IN HEALTHCARE
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.
Audience
The book will be very useful to a wide range of specialists including researchers, engineers, and postgraduate students in artificial intelligence, bioinformatics, information technology, as well as those in biomedicine.
Preguntas frecuentes
Información
Índice
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Contents
- Preface
- 1 Era of Computational Cognitive Techniques in Healthcare Systems
- 2 Proposal of a Metaheuristic Algorithm of Cognitive Computing for Classification of Erythrocytes and Leukocytes in Healthcare Informatics
- 3 Convergence of Big Data and Cognitive Computing in Healthcare
- 4 IoT for Health, Safety, Well-Being, Inclusion, and Active Aging
- 5 Influence of Cognitive Computing in Healthcare Applications
- 6 An Overview of the Computational Cognitive from a Modern Perspective, Its Techniques and Application Potential in Healthcare Systems
- 7 Protecting Patient Data with 2FAuthentication
- 8 Data Analytics for Healthcare Monitoring and Inferencing
- 9 Features Optimistic Approach for the Detection of Parkinson’s Disease
- 10 Big Data Analytics in Healthcare
- 11 Case Studies of Cognitive Computing in Healthcare Systems: Disease Prediction, Genomics Studies, Medical Image Analysis, Patient Care, Medical Diagnostics, Drug Discovery
- 12 State of Mental Health and Social Media: Analysis, Challenges, Advancements
- 13 Applications of Artificial Intelligence, Blockchain, and Internet-of-Things in Management of Chronic Disease
- 14 Research Challenges and Future Directions in Applying Cognitive Computing in the Healthcare Domain
- Index
- EULA