Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing Computational Intelligence, IoT, Blockchain, Cloud, and Big Data Analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used for healthcare systems, products, and services.

Table des matières

1. Telemedicine (e-Health, m-Health): Requirements, Challenges and Applications.
2. Future Risk Analysis of the Health Public Sector During COVID-19 Period (2020 to March 2021).
3. Role of Advanced Technologies in Gait Analysis and Its Importance in Healthcare.
4. Emerging Disruptive Technologies and Their Impact on Health Informatics.
5. Scaling Up Telemedicine in India: Moving Towards Intelligent Healthcare via Disruptions.
6. A Wearable ECG Sensor for Intelligent Cardiovascular Health Informatics.
7. Recent Trends in Wearable Technologies, Challenges and Opportunities.
8. Intelligent Depression Detection System Using Effective Hyper-Scanning Techniques.
9. Design of an Intelligent System for Diabetes Prediction by Integrating Rough Set Theory and Genetic Algorithm.
10. Blockchain for the Healthcare Sector: Application and Challenges.
11. Blockchain-Enabled Secured Medical Supply Chain Management.
12. Big Data in Healthcare: Technological Implications and Challenges.
13. An Efficient System for Predictive Analysis on Brain Cancer Using Machine Learning and Deep Learning Techniques.
14. A Review Study on Different Machine Learning Algorithms Used for COVID Outbreak Prediction.
15. Designing a Rough-PSO-Based COVID-19 Prediction Model.
16. Transitions in Machine Learning Approaches for Healthcare-Sector Applications.

A propos de l'auteur

Teena Bagga, Amirul Hasan Ansari

Résumé

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing Computational Intelligence, IoT, Blockchain, Cloud, and Big Data Analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used for healthcare systems, products, and services.

Détails du produit

• Collaboration: Amirul Hasan Ansari (Editeur), Teena Bagga (Editeur), Nishant Kumar (Editeur), Kumar Nishant (Editeur), Danish Nadeem (Editeur), Kamal Upreti (Editeur)
• Edition: Taylor and Francis
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 07.10.2024
• EAN: 9781032108018
• ISBN: 978-1-032-10801-8
• Pages: 280
• Poids: 480 g
• Illustrations: schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
• Thème: Artificial Intelligence in Smart Healthcare Systems
• Catégories: Sciences humaines, art, musique > Art > Architecture d'intérieur, design; Sciences naturelles, médecine, informatique, technique > Technique > Autres; machine learning, Product Design, SCIENCE / Chemistry / Industrial & Technical, DESIGN / Product, MEDICAL / Health Care Delivery, BUSINESS & ECONOMICS / Management, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Industrial Design / General, COMPUTERS / Machine Theory, Management & management techniques, Technical design, Mathematical theory of computation, Engineering: general, Management and management techniques, Health systems & services, COMPUTERS / Data Science / Machine Learning, Primary care medicine, primary health care, Industrial chemistry and manufacturing technologies, Industrial chemistry & manufacturing technologies