LitCovid-sentences  

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Id Subject Object Predicate Lexical cue
T463 0-118 Sentence denotes We used multiple statistical indices and empirical distributions to assess the performance of the proposed frameworks.
T464 119-278 Sentence denotes The equations of the statistical indices are shown in Supplementary Fig. 21 and all the abbreviations used in this study are defined in Supplementary Table 23.
T465 279-407 Sentence denotes All the data used in this study followed the criteria: (1) sign informed consent prior to enrollment. (2) At least 18 years old.
T466 408-539 Sentence denotes This study was conducted following the declaration of Helsinki and was approved by the Capital Medical University Ethics Committee.
T467 540-741 Sentence denotes The following statistical analyses of the data were conducted for both evaluating the classification framework and the regression framework.Statistical indices to evaluate the classification framework.
T468 742-969 Sentence denotes Multiple evaluation indicators (PRC, ROC, AUPRC, AUROC, sensitivity, specificity, precision, kappa index, and F1 with a fixed threshold) were computed for a comprehensive and accurate assessment of the classification framework.
T469 970-1086 Sentence denotes Multiple threshold values were in the range from 0 to 1 with a step value of 0.005 to obtain the ROC and PRC curves.
T470 1087-1253 Sentence denotes The PRC showed the relationship between the precision and the sensitivity (or recall), and the ROC indicated the relationship between the sensitivity and specificity.
T471 1254-1341 Sentence denotes The two curves reflected the comprehensive performance of the classification framework.
T472 1342-1446 Sentence denotes The kappa index is a statistical method for assessing the degree of agreement between different methods.
T473 1447-1526 Sentence denotes In our use case, the indicator was used to measure the stability of the method.
T474 1527-1619 Sentence denotes The F1 score is a harmonic average of precision and sensitivity and considers the FP and FN.
T475 1620-1712 Sentence denotes The bootstrapping method was used to calculate the empirical distribution of each indicator.
T476 1713-1906 Sentence denotes The detailed calculation process was as follows: we conducted random sampling with replacement to generate 1000 new test data sets with the same number of samples as the original test data set.
T477 1907-1980 Sentence denotes The evaluation indicators were calculated to determine the distributions.
T478 1981-2054 Sentence denotes The results were displayed in boxplots (Fig. 5 and Supplementary Fig. 2).
T479 2055-2112 Sentence denotes Statistical indices to evaluate the regression framework.
T480 2113-2260 Sentence denotes Multiple evaluation indicators (MSE, RMSE, MAE, R2, and PCC) were computed for a comprehensive and accurate assessment of the regression framework.
T481 2261-2343 Sentence denotes The MSE was used to calculate the deviation between the predicted and true values.
T482 2344-2391 Sentence denotes The RMSE was the square root of the MSE result.
T483 2392-2453 Sentence denotes The two indicators show the accuracy of the model prediction.
T484 2454-2528 Sentence denotes The R2 was used to assess the goodness-of-fit of the regression framework.
T485 2529-2620 Sentence denotes The r was used to assess the correlation between two variables in the regression framework.
T486 2621-2715 Sentence denotes The indicators were calculated using the open-source tools scikit-learn and the scipy library.