LEADER 03789nam 2200589 450 001 996465447203316 005 20210420121712.0 010 $a981-15-8097-9 024 7 $a10.1007/978-981-15-8097-0 035 $a(CKB)4100000011569080 035 $a(DE-He213)978-981-15-8097-0 035 $a(MiAaPQ)EBC6387598 035 $a(Au-PeEL)EBL6387598 035 $a(OCoLC)1206401165 035 $a(BIP)077003443 035 $a(PPN)252508793 035 $a(EXLCZ)994100000011569080 100 $a20210420d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aInternet of medical things for smart healthcare $eCovid-19 pandemic /$fChinmay Chakraborty [and three others], editors 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer,$d[2020] 210 4$d2020 215 $a1 online resource (XII, 305 p. 200 illus., 177 illus. in color.) 225 1 $aStudies in big data ;$vVolume 80 311 $a981-15-8096-0 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Transmission Dynamics and Estimation of Basic Reproduction Number (R0) from Early Outbreak of Novel Coronavirus (COVID-19) in India -- Chapter 2. Covid -19 analysed by using machine deep learning -- Chapter 3. MML Classification Techniques for the pathogen based on pnuemonia-nCOVID-19 and the Detection of closely related lung diseases using Efficacious Learning Algorithms -- Chapter 4. Diagnosing COVID-19 Lung Inflammation using Machine Learning Algorithms: A Comparative Study -- Chapter 5. Factors Affecting the Success of Internet of Things for Enhancing Quality and Efficiency Implementation in Hospitals Sector in Jordan during the crises of Covid-19 -- Chapter 6. IoMT based Smart Diagnostic/Therapeutic Kit for Pandemic Patients -- Chapter 7. The Prediction Analysis of Covid-19 Cases using ARIMA and KALMAN Filter Models: A Case of Comparative Study -- Chapter 8. Exploration of cough recognition technologies grounded on sensors and artificial intelligence -- Chapter 9. A Review on use of Data Science for visualisation and prediction of the COVID-19 Pandemic and Early diagnosis of COVID-19 using Machine learning models -- Chapter 10. Fuzzy Cellular Automata Model For Discrete Dynamical System Representing Spread ofMERS And COVID-19 Virus, SumitaBasu and Sreeya Ghosh. 330 $aThis book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic. 410 0$aStudies in big data ;$vVolume 80. 606 $aCOVID-19 (Disease)$xHealth aspects 606 $aMedical care$xData processing 606 $aMedical informatics 615 0$aCOVID-19 (Disease)$xHealth aspects. 615 0$aMedical care$xData processing. 615 0$aMedical informatics. 676 $a610.285 702 $aChakraborty$b Chinmay$4edt 702 $aBanerjee$b Amit$4edt 702 $aGarg$b Lalit$4edt 702 $aCoelho Rodrigues$b Joel J. P.$4edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465447203316 996 $aInternet of medical things for smart healthcare$92247214 997 $aUNISA