COVID-19: Prediction, Decision-Making, and its Impacts [E-Book] / edited by K.C. Santosh, Amit Joshi.
The book aims to outline the issues of AI and COVID-19, involving predictions, medical support decision-making, and possible impact on human life. Starting with major COVID-19 issues and challenges, it takes possible AI-based solutions for several problems, such as public health surveillance, early...
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Full text |
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| Personal Name(s): | Joshi, Amit, editor |
| Santosh, K.C., editor | |
| Edition: |
1st edition 2021. |
| Imprint: |
Singapore :
Springer,
2021
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| Physical Description: |
XII, 137 pages 24 illustrations, 19 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9789811596827 |
| DOI: |
10.1007/978-981-15-9682-7 |
| Series Title: |
Lecture Notes on Data Engineering and Communications Technologies ;
60 |
| Subject (LOC): |
- AI Joins the Fight Against COVID-19
- AI for COVID-19: Conduits for Public Health Surveillance
- A Pre-screening Approach for COVID 19 Testing based on Belief Rule-Based Expert System
- Local Analytical System for Early Epidemic Detection
- Implementing early detection system for Covid-19 using anomaly detection
- Covid-19 classification based on Gray-Level Co-Occurrence Matrix and Support Vector Machine
- Rough sets in COVID-19 to Predict Symptomatic Cases
- COVID-19 Detection via Wavelet Entropy and Biogeography-based Optimization
- Machine Learning in Fighting Pandemics: A COVID-19 Case Study
- Robotics in Healthcare Against COVID-19
- COVID-19: A necessity for changes and innovations
- Prediction to Service Delivery: AI in Action
- COVID-19 impacts construction industry: then, now, and future
- COVID-19 on Air Quality Index (AQI): A necessary evil?.