Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection

Texte du rabat

This book delves into the history of biometrics, the various systems that have been developed to date, the problems that have arisen from these systems, the necessity of AI-based biometrics systems, the various AI techniques.

Contenu

Preface. Potential Benefits of BIAs-based ML/DL Models. BIAs-based Deep Learning (DL) Models. Evaluation of Bio-Inspired Algorithm-based Machine Learning and Deep Learning Models. Disease Diagnosis: Traditional vs. Bio-Inspired Algorithm Approaches. Algorithmic Heartbeat with Bio-Inspired Algorithms in Cardiac Health Monitoring. Bio-Inspired Algorithms-based Machine Learning and Deep Learning Models for Covid -19 Diagnosis. Bio-Inspired Intelligence in Early Cancer Detection: A Machine Learning Approach. Bio-Inspired Algorithms in Machine Learning and Deep Learning for Diabetes Diagnosis. A Multi-objective Optimized Bio-inspired Deep Learning framework for Autism Spectrum Disorder Diagnosis in Toddlers. Bio-Inspired Algorithms using Machine Learning and Deep Learning for Social Phobia Treatment. Bio-Inspired Algorithms-based Machine Learning models for Neural Disorders Prediction: A Focus on Depression Detection. Research Directions and Challenges in Bio-Inspired Algorithms for Machine Learning and Deep Learning Models in Healthcare. Index.