Titlebook: Internet of Medical Things for Smart Healthcare; Covid-19 Pandemic Chinmay Chakraborty,Amit Banerjee,Joel J. P. C. Ro Book 2020 The Editor(

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2197-6503 cols using the intelligence gained via data.Focuses on recenThis 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 technolo

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2197-6503 lutions 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..978-981-15-8099-4978-981-15-8097-0Series ISSN 2197-6503 Series E-ISSN 2197-6511

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Diagnosing COVID-19 Lung Inflammation Using Machine Learning Algorithms: A Comparative Study,mages using morphological approaches. In the second phase, we use machine learning algorithms to classify the pneumonia level of the confirmed COVID-19 patient. Extensive experiments have been carried out and the results show the accuracy of 91.304%, 91.4%, 87.5%, 95.622% for kNN, SVM, DT, and CNN, respectively.

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Factors Affecting the Success of Internet of Things for Enhancing Quality and Efficiency Implementaon technology sector. This is done through improving healthcare delivery by increasing efficiency, reducing cost and time involved. However, the applicability of DeLone and McLean?IS success model achievement model for health welfare implementation in IoT remains unknown. Thus, this research amid to