… risk of death. Recent studies reviewedpredictive models for SARS-CoV-2 diagnosis, … , and baseline ML methods to predictmortality based on radiological severity scores (accounting for …
… performance in estimating the total mortality and prediction of the outbreak of COVID-19. … regions caused by COVID-19 and thus facilitated in determining the severity of illness and was …
… of machine-learning-based approaches to predict hospital … Therefore, AI has been used for the diagnosis of COVID-19 … applied to determine COVID-19severity by predicting the need for …
… that the mortality rate of patients with severeCOVID-19 is … can help to predict the course of the disease at diagnosis. In … of model’s high-riskprediction to death for the test data set were …
… be at risk of COVID-19-related severe morbidity and mortality, … Finally, for the remaining articles, we reviewed the full text … novel predictivemachinelearningmethods to COVID-19 data …
… CT scans are a useful tool for diagnosingCOVID-19. … to predictCOVID-19mortality with over 90% of accuracy [10]. Thus,we hypothesize that using MachineLearning to classify severity …
T Rahman, FA Al-Ishaq, FS Al-Mohannadi… - Diagnostics, 2021 - mdpi.com
… works utilizing machinelearningapproaches for early mortalityprediction of patients … mortalityriskpredicting technique for identifying the patients with high risk among both COVID-19 …
… a variety of learningmethods, for early prediction of severity using … -based medical diagnosis, Artificial intelligence (AI) … to assess the severity of the patient and the risk of death precisely …
K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
… a mortalityriskprediction model for COVID-19 based on ML … is a central hospital for COVID-19 diagnosis and treatment in the … predictingCOVID-19 related mortality and disease severity …