LEADER 03294nam 2200469 450 001 9910483431203321 005 20210628214019.0 010 $a981-15-9682-4 035 $a(CKB)4100000011645152 035 $a(MiAaPQ)EBC6424429 035 $a(DE-He213)978-981-15-9682-7 035 $a(PPN)252512820 035 $a(EXLCZ)994100000011645152 100 $a20210330d2021 uy 0 101 0 $aeng 135 $aurcn#---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aCOVID-19 $eprediction, decision-making, and its impacts /$fK.C. Santosh, Amit Joshi, editors 205 $a1st ed. 2021. 210 1$aGateway East, Singapore :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource 225 1 $aLecture notes on data engineering and communications technologies,$x2367-4512 ;$vVolume 60 320 $aIncludes bibliographical references. 327 $aAI 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?. 330 $aThis book outlines artificial intelligence for COVID-19 issues that are ranging from prediction to decision-making for healthcare support in human lives. Starting with major COVID-19 issues and challenges, it takes possible AI-based solutions for multiple problems, such as early prediction, its role for public health, detection of positive cases, drug analysis, and healthcare support. It mainly employs publicly available data (population) to predict who should be tested for COVID-19, for example, radiological image data to detect COVID-19 positive cases from other similar and/or different manifestations, such as pneumonia, distributed healthcare support, and supply chains in the middle of COVID-19 pandemic. The book includes recently developed AI-driven tools and techniques, such as pattern recognition, anomaly detection, machine learning, and data analytics. It covers a wide range of audience from computer science and engineering to healthcare professionals. . 410 0$aLecture Notes on Data Engineering and Communications Technologies (Print) ;$v60 606 $aCOVID-19 (Disease)$xResearch$vCase studies 615 0$aCOVID-19 (Disease)$xResearch 676 $a614.592414072 702 $aSantosh$b K. C. 702 $aJoshi$b Amit 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 801 2$bCaOWtU 906 $aBOOK 912 $a9910483431203321 996 $aCOVID-19$92802534 997 $aUNINA