Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies

ISBN-13: 9781774910047 / Angielski / Twarda / 2022 / 200 str.

Adarsh Garg; D. P. Goyal

Opis

Discusses state-of-the-art technology for predicting disasters by designing healthcare disaster management systems that use modern technology—cloud computing, artificial intelligence, IoT, data analytics, machine learning—to increase effectiveness in remote sensing technologies, data analytics, data storage, GIS, GPS, etc.

Spis treści

1. Role of Knowledge Graphs in Analyzing Epidemics and Health Disasters 2. Forecasting of COVID-19 with the ARIMA Model in India as a Preventive Measure of Healthcare Catastrophe 3. Role of Artificial Intelligence in the Era of COVID-19 to Improve Hospital Management 4. Challenges of Global Healthcare Disasters 5. Healthcare Disaster Prediction with IoT, Data Analytics, and Machine Learning 6. Effectiveness of Aarogya Setu Mobile Application During COVID-19 Healthcare Management: A Technology Acceptance Model-Based Approach 7. CoReS-Respiratory Strength Predicting Framework Using Noninvasive Technology for Remote Monitoring During Heath Disasters 8. Exploring the Scope of Policy Issues Influencing IoT Health and Big Data: A Structured Review 9. COVID-19 Disaster Healthcare Management System in Rural Areas 10. Sentiment Analysis for Sustainable Healthcare During Pandemic Outbreak: Lessons Learned from COVID-19 11. Design Schema to Offer Security and Confidentiality to Healthcare Data in Cloud Environment