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

Preface. 1 Potential Benefits of BIAs-based ML/DL Models. 2 BIAs-based Deep Learning (DL) Models. 3 Evaluation of Bio-Inspired Algorithm-based Machine Learning and Deep Learning Models. 4 Disease Diagnosis: Traditional vs. Bio-Inspired Algorithm Approaches. 5 Algorithmic Heartbeat with Bio-Inspired Algorithms in Cardiac Health Monitoring. 6 Bio-Inspired Algorithms-based Machine Learning and Deep Learning Models for Covid-19 Diagnosis. 7 Bio-Inspired Intelligence in Early Cancer Detection: A Machine Learning Approach. 8 Bio-Inspired Algorithms in Machine Learning and Deep Learning for Diabetes Diagnosis. 9 A Multi-objective Optimized Bio-inspired Deep Learning framework for Autism Spectrum Disorder Diagnosis in Toddlers. 10 Bio-Inspired Algorithms using Machine Learning and Deep Learning for Social Phobia Treatment. 11 Bio-Inspired Algorithms-based Machine Learning models for Neural Disorders Prediction: A Focus on Depression Detection. 12 Research Directions and Challenges in Bio-Inspired Algorithms for Machine Learning and Deep Learning Models in Healthcare. Index.

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• Algoritmos e estruturas de dados
• Aspectos jurídicos da Tecnologia Informática
• Saude pessoal e pública
• Doenças infecciosas e contagiosas
• Inteligência artificial
• Aspectos éticos e sociais da Tecnologia Informática
• Aspectos sanitários e de segurança da computação
• Empresas públicas / nacionalizações
• Sistemas e serviços de saude
• Engenharia biomédica

Disease Diagnosis, AI, Machine Learning, Deep Learning, AI based Disease Diagnosis, Nature Inspired, Bio Inspired , Metaheuristics, Medical Imaging , Optimization , Heart , COVID-19 , Cancer , Diabetes