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Titolo: |
Internet of medical things for smart healthcare : Covid-19 pandemic / / Chinmay Chakraborty [and three others], editors
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Pubblicazione: | Singapore : , : Springer, , [2020] |
2020 | |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (XII, 305 p. 200 illus., 177 illus. in color.) |
Disciplina: | 610.285 |
Soggetto topico: | COVID-19 (Disease) - Health aspects |
Medical care - Data processing | |
Medical informatics | |
Persona (resp. second.): | ChakrabortyChinmay |
BanerjeeAmit | |
GargLalit | |
Coelho RodriguesJoel J. P. | |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | 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 ofMERS And COVID-19 Virus, SumitaBasu and Sreeya Ghosh. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Internet of medical things for smart healthcare ![]() |
ISBN: | 981-15-8097-9 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996465447203316 |
Lo trovi qui: | Univ. di Salerno |
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