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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
403 142-150 Disease denotes coughing MESH:D003371
404 472-480 Disease denotes coughing MESH:D003371
405 552-560 Disease denotes coughing MESH:D003371

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T8 142-150 Phenotype denotes coughing http://purl.obolibrary.org/obo/HP_0012735
T9 472-480 Phenotype denotes coughing http://purl.obolibrary.org/obo/HP_0012735
T10 552-560 Phenotype denotes coughing http://purl.obolibrary.org/obo/HP_0012735

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T397 0-205 Sentence denotes After studying the outcomes, we found that the “hugging” and “handshaking” classes experienced the highest false negative results compared to coughing as the larger dataset was being prepared for training.
T398 206-332 Sentence denotes It appeared that hugging and handshaking (grouping actions) were more varied in terms of the types of handshaking and hugging.
T399 333-422 Sentence denotes Therefore, training precision could be improved with the preparation of more varied data.
T400 423-609 Sentence denotes Moreover, some of the false positive results for coughing showed that in most cases, moving a hand near the face was detected as coughing, regardless whether it had actually taken place.
T401 610-688 Sentence denotes Furthermore, the number of false negatives increased in a more populated area.
T402 689-774 Sentence denotes Detected touching behavior results demonstrated high numbers of false negative cases.
T403 775-879 Sentence denotes About 75 percent of false negative cases occurred when the predictor incorrectly detected small objects.
T404 880-997 Sentence denotes Therefore, specifying limitations for box sizes and level of confidence for the predictor can reduce false negatives.
T405 998-1126 Sentence denotes The results of evaluating precision, recall, F-score, and number of samples for each behavior action class is listed in Table 5.