| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T82 |
0-43 |
Sentence |
denotes |
Clinical and radiological feature selection |
| T83 |
44-246 |
Sentence |
denotes |
To obtain the most valuable clinical and radiological semantic features, statistical analysis, univariate analysis, and the least absolute shrinkage and selection operator (LASSO) method were performed. |
| T84 |
247-445 |
Sentence |
denotes |
In statistical analysis, the chi-square test, the Kruskal-Wallis H test, and t test were utilized to compare the radiological semantic and clinical features between COVID-19 and non-COVID-19 groups. |
| T85 |
446-504 |
Sentence |
denotes |
The features with p value smaller than 0.05 were selected. |
| T86 |
505-633 |
Sentence |
denotes |
Then, univariate analysis was performed for clinical and radiological candidate features to determine the COVID-19 risk factors. |
| T87 |
634-720 |
Sentence |
denotes |
The features with p value smaller than 0.05 in univariate analysis were also selected. |
| T88 |
721-944 |
Sentence |
denotes |
The least absolute shrinkage and selection operator (LASSO) method [23] was utilized to select the most useful features with penalty parameter tuning that was conducted by 10-fold cross-validation based on minimum criteria. |
| T89 |
945-1048 |
Sentence |
denotes |
Diagnostic models were then constructed by multivariate logistic regression with the selected features. |
| T90 |
1049-1167 |
Sentence |
denotes |
The flowchart of the feature selection process for these models was presented in the Supplementary Material (Fig. E2). |
