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Health Informatics : Technologies and Applications.
- Format:
- Book
- Author/Creator:
- Gupta, Gaurav.
- Series:
- Healthcare Technologies Series
- Language:
- English
- Physical Description:
- 1 online resource (0 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Stevenage : Institution of Engineering & Technology, 2026.
- Summary:
- This book covers technological advances in healthcare such as CAD in drug discovery, precision medicine, the evolution of medical devices, and data management, AI and ML in biomedical and healthcare applications, telemedicine, cloud computing systems, IoMT and cybersecurity of EMR are also discussed.
- Contents:
- Intro
- Contents
- Preface
- About the editors
- 1. Health data analytics and big data applications
- 2. Advances in brain tumor detection: role of feature extraction and machine learning
- 3. Understanding of Parkinson's disease: pathology, diagnosis, therapies, and importance of biomarkers
- 4. Amyotrophic lateral sclerosis (ALS) disease: genes, molecular pathology and diagnostic treatment
- 5. Advances in health informatics for obstructive sleep apnea diagnosis and management
- 6. Optimized audio signal reconstruction for AI-driven diagnosis of chronic respiratory conditions
- 7. Emotion recognition using speech
- 8. Enhanced security and privacy in IoMT: a hierarchical federated learning approach using Dew-Cloud with HLSTM for hostile attack mitigation
- 9. Revolutionizing pathological assessments with privacy-centric machine learning models
- 10. Exploring the synergy of SSL and IoMT in breast cancer detection: a theoretical framework
- 11. Proteomics techniques for characterizing microbial proteins
- 12. Enhancing obstructive sleep apnea diagnosis with machine learning: innovations and outcomes
- 13. Ensemble and hybrid machine learning techniques: theoretical foundations, differences, applications and healthcare integration
- Index.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-83724-990-3
- 1-83724-089-2
- OCLC:
- 1581076840
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