Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
Plants contribute significantly to the global food supply. Various Plant diseases can result in
production losses, which can be avoided by maintaining vigilance. However, manually …
production losses, which can be avoided by maintaining vigilance. However, manually …
Automatic and reliable leaf disease detection using deep learning techniques
Plants are a major source of food for the world population. Plant diseases contribute to
production loss, which can be tackled with continuous monitoring. Manual plant disease …
production loss, which can be tackled with continuous monitoring. Manual plant disease …
Machine learning based clinical decision support system for early COVID-19 mortality prediction
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …
respiratory disease that has been classified as a pandemic by the World Health …
Machine Learning‐Based Model to Predict the Disease Severity and Outcome in COVID‐19 Patients
The novel coronavirus (COVID‐19) outbreak produced devastating effects on the global
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
The reliable and rapid identification of the COVID-19 has become crucial to prevent the
rapid spread of the disease, ease lockdown restrictions and reduce pressure on public …
rapid spread of the disease, ease lockdown restrictions and reduce pressure on public …
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine
B Shi, H Ye, L Zheng, J Lyu, C Chen, AA Heidari… - Computers in Biology …, 2021 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) was distributed globally at the end of
December 2019 due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …
December 2019 due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …
Estimating the relative crystallinity of biodegradable polylactic acid and polyglycolide polymer composites by machine learning methodologies
Biodegradable polymers have recently found significant applications in pharmaceutics
processing and drug release/delivery. Composites based on poly (L-lactic acid)(PLLA) have …
processing and drug release/delivery. Composites based on poly (L-lactic acid)(PLLA) have …
Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational …
MT Huyut, H Üstündağ - Medical gas research, 2022 - journals.lww.com
Abstract The coronavirus disease 2019 (COVID-19) epidemic went down in history as a
pandemic caused by corona-viruses that emerged in 2019 and spread rapidly around the …
pandemic caused by corona-viruses that emerged in 2019 and spread rapidly around the …