Cognitive Intelligence and Big Data in Healthcare
eBook - PDF

Cognitive Intelligence and Big Data in Healthcare

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Cognitive Intelligence and Big Data in Healthcare

About this book

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.

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Yes, you can access Cognitive Intelligence and Big Data in Healthcare by D. Sumathi, T. Poongodi, B. Balamurugan, Lakshmana Kumar Ramasamy, D. Sumathi,T. Poongodi,B. Balamurugan,Lakshmana Kumar Ramasamy in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. 1 Era of Computational Cognitive Techniques in Healthcare Systems
  8. 2 Proposal of a Metaheuristic Algorithm of Cognitive Computing for Classification of Erythrocytes and Leukocytes in Healthcare Informatics
  9. 3 Convergence of Big Data and Cognitive Computing in Healthcare
  10. 4 IoT for Health, Safety, Well-Being, Inclusion, and Active Aging
  11. 5 Influence of Cognitive Computing in Healthcare Applications
  12. 6 An Overview of the Computational Cognitive from a Modern Perspective, Its Techniques and Application Potential in Healthcare Systems
  13. 7 Protecting Patient Data with 2FAuthentication
  14. 8 Data Analytics for Healthcare Monitoring and Inferencing
  15. 9 Features Optimistic Approach for the Detection of Parkinson’s Disease
  16. 10 Big Data Analytics in Healthcare
  17. 11 Case Studies of Cognitive Computing in Healthcare Systems: Disease Prediction, Genomics Studies, Medical Image Analysis, Patient Care, Medical Diagnostics, Drug Discovery
  18. 12 State of Mental Health and Social Media: Analysis, Challenges, Advancements
  19. 13 Applications of Artificial Intelligence, Blockchain, and Internet-of-Things in Management of Chronic Disease
  20. 14 Research Challenges and Future Directions in Applying Cognitive Computing in the Healthcare Domain
  21. Index
  22. EULA