Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare
eBook - ePub

Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare

  1. 428 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare

About this book

Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare examines the dynamic intersection of cognitive science and meta-learning within the realm of biomedical research. It addresses how to overcome the complexities of contemporary health challenges by harnessing the power of advanced learning methodologies, such as cognitive processes and meta learning. - Includes self-contained chapters, which include a detailed literature review of cognitive meta learning in biomedical research. - Demonstrate the benefits of implementing AI based models in biomedical research. - Shows how cognitive meta learning, AI models and other emerging technologies helps the healthcare sector.

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Information

Year
2026
eBook ISBN
9780443403804

Table of contents

  1. Title of Book
  2. Chapter one Smartphone-based human activity recognition for healthcare service with meta learning
  3. Chapter two Cognitive metalearning-based artificial intelligence models for improved detection of neuropathology
  4. Chapter THREE Revolutionising Brain Tumour Detection: Integrating AI and Machine Learning for Enhanced Diagnostic Accuracy and Healthcare Efficiency
  5. Chapter four Integrating metalearning into biomedical diagnostics
  6. Chapter five Metareinforcement learning in health informatics: a metareinforcement learning framework for blood glucose level control in Type 1 diabetes
  7. Chapter six Cognitive metalearning techniques for uncovering hidden patterns in protein information: a gender-based analysis of undergraduate biochemistry students in Pakistan
  8. Chapter seven Hip exoskeleton controller design: a comprehensive review for people with leg deformities
  9. Chapter Eight Explainable artificial intelligence for epileptic neonatal electroencephalography classification
  10. Chapter nine An artificial intelligence–enabled meta-learning approach toward prediction of cardiological disorders in healthcare sector
  11. Chapter ten Cognitive Meta-Learning-Based AI Models for Multimodal Signals
  12. Chapter eleven Cognitive meta-learning techniques for uncovering hidden patterns in biomedical information
  13. Chapter twelve A cognitive learning approach for severity classification of diabetic retinopathy using voting-based selection of deep models
  14. Chapter thirteen Challenges and mitigating strategies for artificial intelligence–based meta-learning with multimodal signals
  15. Chapter fourteen Revolutionizing healthcare with the cognitive internet of medical things: artificial intelligence–driven connectivity and smart systems for personalized care
  16. Index

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Yes, you can access Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare by Chinmay Chakraborty,Subhendu Kumar Pani,Sayonara Barbosa in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over 1.5 million books available in our catalogue for you to explore.