|drug771||Chest computed tomography (CT) Wiki||1.00|
|D020196||Trauma, Nervous System NIH||1.00|
|D001927||Brain Diseases NIH||0.50|
There is one clinical trial.
The purpose of this study is to build a large dataset of Computed Tomography (CT) images for identification of accurate CT criteria and development of deep learning-based solutions for diagnosis, quantification and prognostic estimation.
Description: Sensibility specificity positive and negative predictive values of CT criteria with RT-PCR results as standard of reference.Measure: Predictive values of CT criteria Time: 1 month
Description: Accuracy (ROC curve analysis) of CT visual composite score to predict ventilation requirement and 1-month mortalityMeasure: Accuracy of CT composite severity score Time: 1 month
Description: Accuracy (ROC curve analysis) of deep-learning based score to predict ventilation requirement and 1-month mortalityMeasure: Accuracy of deep-learning based score Time: 1 month
Description: Sensibility specificity Positive and Negative predictive values of deep-learning based diagnostic algorithmsMeasure: Predictive values of deep-learning based diagnostic algorithms Time: 1 month
Data processed on September 26, 2020.
An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.Drug Reports MeSH Reports HPO Reports