COVID-19: Prediction, Decision-Making, and its Impacts [E-Book] /

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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Joshi, Amit, editor
Santosh, K.C., editor
1st edition 2021.
Singapore : Springer, 2021
XII, 137 pages 24 illustrations, 19 illustrations in color (online resource)
englisch
9789811596827
10.1007/978-981-15-9682-7
Lecture Notes on Data Engineering and Communications Technologies ; 60
Artificial intelligence.
Computational intelligence.
Machine learning.
Medical informatics.
Technology -- Sociological aspects.


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505 0 |a 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?. 
520 |a 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 (epidemic) prediction, COVID-19 positive case detection, and robotics integration against COVID-19. Beside mathematical modeling, it includes the necessity of changes in innovations and possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machine learning, and data analytics are considered. It aims to include the wide range of audiences from computer science and engineering to healthcare professionals. 
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