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Title Internet of medical things for smart healthcare : Covid-19 pandemic / Chinmay Chakraborty, Amit Banerjee, Lalit Garg, Joel J.P.C. Rodrigues, editors
Published Singapore : Springer, [2020]

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Description 1 online resource (xii, 305 pages)
Series Studies in big data, 2197-6503 ; volume 80
Studies in big data ; v. 80. 2197-6503
Contents Chapter 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 of MERS And COVID-19 Virus, SumitaBasu and Sreeya Ghosh
Summary This 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
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed January 21, 2021)
Subject Medical informatics.
COVID-19 (Disease)
Medical care -- Data processing
Computational intelligence.
Artificial intelligence.
Big data.
COVID-19
Artificial Intelligence
artificial intelligence.
Medical care -- Data processing
COVID-19 (Disease)
Artificial intelligence
Big data
Computational intelligence
Medical informatics
Form Electronic book
Author Chakraborty, Chinmay, 1984- editor.
Banerjee, Amit, editor
Garg, Lalit, 1977- editor.
Rodrigues, Joel, 1972- editor.
ISBN 9789811580970
9811580979