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

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Teena Bagga (Amity University, Noida) Kamal Upreti (IEC, Ghaziabad)

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

Teena Bagga (Amity University, Noida), Kamal Upreti (IEC, Ghaziabad), Nishant Kumar (CHRIST (Deemed to be University)) , Amirul Hasan Ansari (, Jamia Millia Islamia University)

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English

CRC Press
07 October 2024

Product design; Technical design; Industrial chemistry & manufacturing technologies; Mathematical theory of computation; Machine learning

Series: Artificial Intelligence in Smart Healthcare Systems

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 in healthcare, its products, and its services.

This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided.

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Edited by: Teena Bagga (Amity University Noida), Kamal Upreti (IEC, Ghaziabad), Nishant Kumar (CHRIST (Deemed to be University)), Amirul Hasan Ansari (, Jamia Millia Islamia University), Danish Nadeem (Atos Consulting)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 544g
ISBN: 9781032108018
ISBN 10: 1032108010
Series: Artificial Intelligence in Smart Healthcare Systems
Pages: 280
Publication Date: 07 October 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

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.

Teena Bagga, Amirul Hasan Ansari