Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare
Editat de Chinmay Chakraborty, Subhendu Kumar Pani, Sayonara Barbosaen Limba Engleză Paperback – mar 2026
- 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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Specificații
ISBN-13: 9780443403798
ISBN-10: 0443403791
Pagini: 500
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0443403791
Pagini: 500
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Cuprins
1. Smartphone-based Human Activity Recognition for Healthcare Service with Meta Learning
2. Cognitive Meta Learning-Based AI Models for Improved Detection of Neuropathology
3. Revolutionising Brain Tumour Detection: Integrating AI and Machine Learning for Enhanced Diagnostic Accuracy and Healthcare Efficiency
4. Integrating meta-learning into Biomedical Diagnostics
5. Meta Reinforcement Learning in Health Informatics: A Meta Reinforcement Learning Framework for Blood Glucose Level Control in Type 1 Diabetes
6. Cognitive Meta-Learning Techniques for Uncovering Hidden Patterns in protein Information: A Gender-Based Analysis of Undergraduate Biochemistry Students in Pakistan
7. Hip Exoskeleton Controller Design: A Comprehensive Review for People with Leg Deformities
8. Explainable AI for Epileptic Neonatal EEG Classification
9. An AI-enabled Meta Learning Approach towards Prediction of Cardiological Disorders in Healthcare Sector
10. Cognitive Meta Learning-based AI models for Multimodal Signals
11. Cognitive Meta-Learning Techniques for Uncovering Hidden Patterns in Biomedical Information
12. A Cognitive Learning Approach for Severity Classification of Diabetic Retinopathy Using Voting Based Selection of Deep Models
13. Challenges and Mitigating Strategies for AI based Meta Learning with Multimodal signals
14. Revolutionizing Healthcare with the Cognitive Internet of Medical Things: AI-Driven Connectivity and Smart Systems for Personalized Care
2. Cognitive Meta Learning-Based AI Models for Improved Detection of Neuropathology
3. Revolutionising Brain Tumour Detection: Integrating AI and Machine Learning for Enhanced Diagnostic Accuracy and Healthcare Efficiency
4. Integrating meta-learning into Biomedical Diagnostics
5. Meta Reinforcement Learning in Health Informatics: A Meta Reinforcement Learning Framework for Blood Glucose Level Control in Type 1 Diabetes
6. Cognitive Meta-Learning Techniques for Uncovering Hidden Patterns in protein Information: A Gender-Based Analysis of Undergraduate Biochemistry Students in Pakistan
7. Hip Exoskeleton Controller Design: A Comprehensive Review for People with Leg Deformities
8. Explainable AI for Epileptic Neonatal EEG Classification
9. An AI-enabled Meta Learning Approach towards Prediction of Cardiological Disorders in Healthcare Sector
10. Cognitive Meta Learning-based AI models for Multimodal Signals
11. Cognitive Meta-Learning Techniques for Uncovering Hidden Patterns in Biomedical Information
12. A Cognitive Learning Approach for Severity Classification of Diabetic Retinopathy Using Voting Based Selection of Deep Models
13. Challenges and Mitigating Strategies for AI based Meta Learning with Multimodal signals
14. Revolutionizing Healthcare with the Cognitive Internet of Medical Things: AI-Driven Connectivity and Smart Systems for Personalized Care