ROC curve of mHLA-DR expression slope (dash line) and IL-6 (full line) for predicting sepsis.Aurélie GouelChéronBernard AllaouchicheCaroline GuignantFanny DavinBernard FloccardGuillaume Monneret
Performance of the deep learning model on the cross-validation set. A Receiver operating characteristic (ROC) curves of tenfold cross-validation. The mean ROC curve with an AUC of 0.962 was obtained by interpolating the ROC curves for tenfolds. Gray shading indicates ± 1 SD of the mean...
We further assessed the predictive performance of the risk signature by generating receiver operating characteristic (ROC) curves and evaluating the area under the ROC curve (AUC) using the 'timeROC' R package. Univariate and multivariate Cox proportional hazards models were utilized to perform ...
We also draw the receiver operating characteristic (ROC) curve and calculate the area under the curves (AUC) to evaluate the performance of the classification model. Acc = TP + TNTP + TN + FP + FN (2) Rec = TPTP + FN (3) Pre = TPTP + FP (4) F1=2∗Rec∗PreRec+Pre (...
Besides, we also utilize the binary classification metrics to evaluate the performance for each therapeutic peptide function prediction task in a one-versus-all form, including the area under the ROC curve (AUC) [17], Matthews’s correlation coefficient (MCC) [18], the F1 measure [19], and...
Further, ROC curve and immune infiltration analysis were performed to assess the diagnostic ability of the selected hub genes and elucidate the correlation between the selected hub genes and the immune microenvironment separately. Subsequently, our study predicted potential therapeutic drugs for IgAN via ...
DREEP’s performance is estimated using either precision-recall curve (upper) or ROC curve (bottom). Max AUC of ROC curves are CTRP2 = 0.691, GDSC = 0.728, and PRISM = 0.661. D Left column: Each point is a drug whose y-coordinate is AUC of the corresponding ROC curve ...
The areas under ROC curve (AUCs) ranged from 0.72 to 0.81 among these tumor SUVmax and standardized SUVmax ratios, and the tumor SUVmax and tumor SUVmax-to-liver SUVmean ratio (TLMR) were more predictive of ORR (AUC, 0.81; 95% CI, 0.73–0.88 for tumor SUVmax and AUC, 0.84; 95%...
The paradigm of non-small cell lung cancer (NSCLC) treatment has been profoundly influenced by the development of immune checkpoint inhibitors (ICI), but the range of clinical responses observed among patients poses significant challenges. To date, analy
LTR leverages the linear form factorization of tensors [19] and a mini-batch data processing scheme, thereby scaling to large datasets while maintaining constant memory and linear time complexity in the size of the input features as well as in the order, size and rank of the tensor. In summ...