… The COVID-19 global pandemic is a threat not only to the health of millions of … to COVID-19
and show how each of them can be addressed by recent developments in machine learning (…

… In summary, image segmentation based on machine learning is widely used in COVID-19
chest images, which can quantitatively describe the lesion area and infection volume, and can …

… machine learning based COVID-19 cough classifier which can discriminate COVID-19 positive
coughs from both COVID-19 … have a cough suggestive of COVID-19. The datasets used in …

… This study uses machine learning and laboratory data to predict COVID-19 patients. Recall,
… machine learning methods has the potential to be used in developing reliable COVID-19 …

… The impact of the COVID-19 … (AI)/machine learning techniques to analyze this massive
amount of information at scale. We find key discrepancies between literature about COVID-19 and …

… the resulting disease from this new CoV called ‘COVID-19’, as a ‘public health emergency of
… mining and machine learning (ML) algorithms for detecting and diagnosing COVID-19. We …

… for developing and implementing new technologies during the COVID-19 lockdown period.
… of machine learning adoption at the time of the COVID-19 pandemic is gathered. COVID-19–…

… Supervised machine learning approaches may be useful to (a) analyze and interpret …
machine learning classifier for predicting the risk of ICU transfer within the next 24 h for COVID-19 …

… Weka-3-8-4 tool [20] was used to perform machine learning classifications. The numerical
… machine learning models used in this study with the proposed features predicted COVID-19 …

… We aimed to develop the COVID-19 ARDS clinical decision support system using machine
learning algorithms and deploy it into electronic medical records(EMR) to assist doctors in …