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PMC:7143846 / 455-833 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
20 302-309 Disease denotes anxiety MESH:D001007
21 311-321 Disease denotes depression MESH:D000275

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T5 302-321 Disease denotes anxiety, depression http://purl.obolibrary.org/obo/MONDO_0041086
T6 302-309 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T8 311-321 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T7 104-110 http://purl.obolibrary.org/obo/CLO_0001658 denotes active

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 302-309 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T2 311-321 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 206-214 http://purl.obolibrary.org/obo/GO_0007612 denotes learning

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T6 54-233 Sentence denotes We sample and analyze the Weibo posts from 17,865 active Weibo users using the approach of Online Ecological Recognition (OER) based on several machine-learning predictive models.