Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

Elhoseny, Mohamed; Anter, Ahmed M.; Thakare, Anuradha D.

Springer International Publishing AG

12/2024

250

Mole

9783031459542

15 a 20 dias

Descrição não disponível.
Chapter. 1. A review of methods employed for forensic human identification.- Chapter. 2. AI based Medicine Intake Tracker.- Chapter. 3. Analysis of Genetic Mutations using Nature-Inspired Optimization Methods and Classification Approach.- Chapter. 4. Applications of Blockchain: A Healthcare Use Case.- Chapter. 5. Comprehensive Methodology of Contact Tracing Techniques to Reduce Pandemic Infectious Diseases Spread.- Chapter. 6. High-impact applications of IoT system-based metaheuristics.- Chapter. 7. IoT-based eHealth solutions for aging with special emphasis on aging-related inflammatory diseases: prospects and challenges.- Chapter. 8. Leveraging Meta-Heuristics in Improving Health Care Delivery: A Comprehensive Overview.- Chapter. 9. Metaheuristics algorithms for complex disease prediction.- Chapter. 10. Printed rGO-based temperature sensor for wireless body area network applications.- Chapter. 11. Recent advanced in healthcare data privacy techniques.- Chapter. 12. The ability of the CFD approach to investigate the fluid and wall hemodynamics of cerebral stenosis and aneurysm.-
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Metaheuristics;Optimization, Internet of Things (IoT);Healthcare;Nature Inspired Methods;Data Mining;Big Data;Deep Learning;Machine Learning;Feature Selection;Artificial Intelligence (AI);Forensic;EEG-based Identification;Cloud;Android-based Application;Personalized Medicine;Blockchain;COVID-19;Decision-Making;Wireless Body Area Network (WBAN);Privacy Preserving