Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
Digital technologies, healthcare and Covid-19: insights from developing and emerging nations
COVID-19 pandemic created a global health crisis affecting every nation. The essential
smart medical devices/accessories, quarantine facilities, surveillance systems, and related …
smart medical devices/accessories, quarantine facilities, surveillance systems, and related …
Retracted article: evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray …
C Wu, M Khishe, M Mohammadi, SH Taher Karim… - Soft Computing, 2023 - Springer
The COVID19 pandemic globally and significantly has affected the life and health of many
communities. The early detection of infected patients is effective in fighting COVID19. Using …
communities. The early detection of infected patients is effective in fighting COVID19. Using …
COVID mortality prediction with machine learning methods: a systematic review and critical appraisal
More than a year has passed since the report of the first case of coronavirus disease 2019
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
Water and wastewater digital surveillance for monitoring and early detection of the COVID-19 hotspot: industry 4.0
There are a high number of COVID-19 cases per capita in the world that goes undetected
including clinical diseases compatible with COVID-19. While the presence of the COVID-19 …
including clinical diseases compatible with COVID-19. While the presence of the COVID-19 …
A survey and recent advances in black widow optimization: variants and applications
Artificial Intelligence techniques, such as optimization algorithms, have become essential for
success in many fields. Therefore, most researchers, especially in computer and …
success in many fields. Therefore, most researchers, especially in computer and …
A novel hybrid prairie dog algorithm and harris hawks algorithm for resource allocation of wireless networks
Enhancing the performance of wireless networks and communication systems requires
careful resource allocation. Resource allocation optimization, however, is regarded as a …
careful resource allocation. Resource allocation optimization, however, is regarded as a …
[PDF][PDF] Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
Background: Machine learning methods offer great potential for fast and accurate detection
and prognostication of COVID-19 from standard-of-care chest radiographs (CXR) and …
and prognostication of COVID-19 from standard-of-care chest radiographs (CXR) and …
Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review
AG Gillman, F Lunardo, J Prinable, G Belous… - … engineering sciences in …, 2021 - Springer
Objectives: To conduct a systematic survey of published techniques for automated diagnosis
and prognosis of COVID-19 diseases using medical imaging, assessing the validity of …
and prognosis of COVID-19 diseases using medical imaging, assessing the validity of …
COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classification
The contagious and pandemic COVID-19 disease is currently considered as the main health
concern and posed widespread panic across human-beings. It affects the human respiratory …
concern and posed widespread panic across human-beings. It affects the human respiratory …