Cognitive and Meta Learning Strategies in Biomedical Research Healthcare examines the dynamic intersection of cognitive science and meta-learning within the realm of biomedical research. The book 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
Table of Contents
1. Cognitive adaptation in biomedical informatics through meta learning strategies2. Exploring neural networks in cognitive approach to biomedical data analysis and interpretation
3. Meta learning frameworks for precision medicine research
4. Harnessing meta learning for robust health solutions
5. Cognitive meta learning techniques for uncovering hidden patterns in biomedical information
6. Cognitive dynamics in drug discovery for accelerated biomedical breakthroughs
7. Integrating meta learning into biomedical diagnostics
8. Biomedical imaging through a cognitive and meta learning techniques
9. Meta reinforcement learning in health informatics
10. Cognitive internet of medical things
11. Meta cognitive neural networks based AI models for disease prediction
12. Cognitive meta learning based AI models for improved detection of neuropathology
13. Cognitive meta learning based AI models for neuro imaging
14. Cognitive meta learning based AI models for multimodal signals
15. Cognitive meta learning based AI models for clinical risk prediction with EHR
