AI and Data Engineering for Healthcare : Real-World Applications and Case Studies (Hardcover)

1. Artificial Intelligence in Mental Health: A Comprehensive Review 2.?ABCNN: Attention-Based Convolutional Neural Networks for Arrhythmia Detection from ECG Data 3.?Beyond the Black Box: Hybrid Deep Learning and Multi-Domain Fusion for Explainable EEG-Based Emotion Recognition 4.?Economic Implications of Artificial Intelligence in Diabetes Management: Opportunities, Challenges, and Regional Prospects for Odisha 5.?AI in Early Disease Detection and Prevention 6.?AI in Medical Imaging: Revolutionizing Diagnostics through AI-Powered Services and Case Studies 7.?Artificial Intelligence for Disease Prevention: From Diagnosis to Personalized Treatment 8.?Deep Learning for Cardiovascular Risk Prediction: Unveiling Insights with RNNs and LSTMs 9.?Predicting Protein-Protein Interactions: Machine Learning Models, Obstacles, and Advancements 10.?The Role of Natural Language Processing in Analyzing Patient Records for Improved Clinical Decision-Making 11.?AI-Enabled IADF Framework for MHD Diagnosis 12.?AI for Remote Healthcare and Telemedicine 13.?Diabetic Retinopathy Classification using Convolutional Neural Networks 14.?Epidemiology and Transmission Dynamics of SARS-CoV-2 15.?Harnessing Generative Adversarial Networks for Heart Disease Prediction: A Comprehensive Review