Health Informatics: Technologies and applications covers technological advances in healthcare that contribute to precision medicine and early detection of diseases. The editors explore the evolution of medical devices with attention to data management, patient safety and cost effectiveness.

• Chapter 1: Health data analytics and big data applications
• Chapter 2: Advances in brain tumor detection: role of feature extraction and machine learning
• Chapter 3: Understanding of Parkinson's disease: pathology, diagnosis, therapies, and importance of biomarkers
• Chapter 4: Amyotrophic lateral sclerosis (ALS) disease: genes, molecular pathology and diagnostic treatment
• Chapter 5: Advances in health informatics for obstructive sleep apnea diagnosis and management
• Chapter 6: Optimized audio signal reconstruction for AI-driven diagnosis of chronic respiratory conditions
• Chapter 7: Emotion recognition using speech
• Chapter 8: Enhanced security and privacy in IoMT: a hierarchical federated learning approach using Dew-Cloud with HLSTM for hostile attack mitigation
• Chapter 9: Revolutionizing pathological assessments with privacy-centric machine learning models
• Chapter 10: Exploring the synergy of SSL and IoMT in breast cancer detection: a theoretical framework
• Chapter 11: Proteomics techniques for characterizing microbial proteins
• Chapter 12: Enhancing obstructive sleep apnea diagnosis with machine learning: innovations and outcomes
• Chapter 13: Ensemble and hybrid machine learning techniques: theoretical foundations, differences, applications and healthcare integration