Internet of medical things for smart healthcare : Covid-19 pandemic

Internet of medical things for smart healthcare : Covid-19 pandemic / Chinmay Chakraborty, Amit Banerjee, Lalit Garg, Joel J.P.C. Rodrigues, editors.

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, develop...

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Bibliographic Details
Other Authors: Chakraborty, Chinmay, 1984- (Editor), Banerjee, Amit (Editor), Garg, Lalit, 1977- (Editor), Rodrigues, Joel, 1972- (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, [2020]
Series:Studies in big data ; v. 80.
Subjects:
Medical informatics.
COVID-19 (Disease)
Medical care > Data processing.
Computational intelligence.
Artificial intelligence.
Big data.
artificial intelligence.
Medical care > Data processing
Artificial intelligence
Big data
Computational intelligence
Medical informatics
Online Access:Click for online access
Table of 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.

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