… In this study, success of AI method in early prediction of severe course, ICU requirement,
and survival topics will be evaluated using some clinical, demographic findings, etiology, and …

… High severity cases had higher mean event counts than low severity cases (0.98 vs 0.40
events/case, P < 0.001). We found that increased severity was associated with increased odds …

… To build prediction models for COVID-19 severity, we considered 30 moderate and 30
severe cases. We chose only 19 cytokines and blood markers (MDC, glucose, creatinine, …

… Artificial intelligence (AI) has penetrated the field of medicine… the role of imaging and artificial
intelligence in COVID-19 … -19 patient and classify the severity of their infection. Image-based …

… AP was classified as severe (severe AP); otherwise, the label was 0 (non-severe AP). This …
machine learning Our goal was to predict whether a patient will develop severe or non-severe …

… step towards building an artificial intelligence (AI) framework, … patients at risk for more severe
illness on initial presentation. … distress syndrome (ARDS), a severe outcome in COVID-19. …

… For a non-invasive and time-efficient prediction of severe or critical pneumonia and its
differentiation from non-severe cases upon admission, this study aimed to explore whether the …

… To evaluate progression-related features, we classified the patients into severe and non-severe
groups based on disease severity. The time intervals between symptom onset and …

… Yet challenges remain in establishing and consistently applying severity grading criteria. …
of artificial intelligence (AI) in which raw data are analyzed via multiple layers of artificial neural …

… usage in prediction of disease severity changes through the course of the disease. In that
way, predicting disease progression from mild towards moderate, severe and critical condition, …