https://www.selleckchem.com/CDK.html
Our experimental results demonstrate that adding non-imaging features can significantly improve the performance of prediction to achieve AUC up to 0.884 and sensitivity as high as 96.1%, which can be valuable to provide clinical decision support in managing COVID-19 patients. Our methods may also be applied to other lung diseases including but not limited to community acquired pneumonia. The source code of our work is available at https//github.com/DIAL-RPI/COVID19-ICUPrediction.Pathology Artificial Intelligence Platform (PAIP) is a free research pl