> top > docs > PMC:7796041 > spans > 7036-8370 > annotations

PMC:7796041 / 7036-8370 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
183 1055-1062 Species denotes patient Tax:9606
184 1268-1276 Species denotes patients Tax:9606
185 156-174 Chemical denotes hydroxychloroquine MESH:D006886
186 202-220 Chemical denotes hydroxychloroquine MESH:D006886
187 225-237 Chemical denotes azithromycin MESH:D017963
188 82-92 Disease denotes arrhythmia MESH:D001145
189 118-130 Disease denotes hypertension MESH:D006973
190 132-154 Disease denotes cardiovascular disease MESH:D002318
191 1323-1333 Disease denotes arrhythmia MESH:D001145

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T35 82-92 Phenotype denotes arrhythmia http://purl.obolibrary.org/obo/HP_0011675
T36 118-130 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T37 132-154 Phenotype denotes cardiovascular disease http://purl.obolibrary.org/obo/HP_0001626
T38 1323-1333 Phenotype denotes arrhythmia http://purl.obolibrary.org/obo/HP_0011675

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T66 0-295 Sentence denotes For the purpose of selecting variables with predictive impact on the incidence of arrhythmia, the variables sex, age, hypertension, cardiovascular disease, hydroxychloroquine, and combined therapy with hydroxychloroquine and azithromycin were initially considered in terms of variable selection.
T67 296-422 Sentence denotes First, regularized logistic regression using the elastic net penalty implemented in the package “glmnet” was computed [12,13].
T68 423-573 Sentence denotes The hyperparameters α (elastic net mixing parameter) and β (shrinkage parameter) were tuned conducting 5-fold cross-validation (CV) and a grid search.
T69 574-757 Sentence denotes Subsequently, multiple logistic regression modeling was conducted only incorporating the selected variables, to estimate the odds ratios (ORs) and their 95% confidence intervals (CI).
T70 758-920 Sentence denotes The area under the curve (AUC) value was computed applying the receiver operating characteristics (ROC) curve to evaluate the model using the package “pROC” [14].
T71 921-1031 Sentence denotes To prevent overestimation of the model’s performance measure, the AUC-value was calculated applying 5-fold CV.
T72 1032-1154 Sentence denotes During 5-fold CV, each patient is part of the training set for four times and is assigned exactly once to the testing set.
T73 1155-1334 Sentence denotes Hence, in each step a model is fitted based on 80% of the data whereas a probability of the remaining 20% of the patients is estimated with respect to the incidence of arrhythmia.