PMC:7796058 / 58757-59410 JSON TXT

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Id	Subject	Object	Predicate	Lexical cue	tao:has_database_id
415	357-362	Species	denotes	human	Tax:9606
416	64-69	Disease	denotes	cough	MESH:D003371
417	597-605	Disease	denotes	coughing	MESH:D003371

Id	Subject	Object	Predicate	Lexical cue	hp_id
T13	64-69	Phenotype	denotes	cough	http://purl.obolibrary.org/obo/HP_0012735
T14	597-605	Phenotype	denotes	coughing	http://purl.obolibrary.org/obo/HP_0012735

Id	Subject	Object	Predicate	Lexical cue
T427	0-100	Sentence	denotes	The ESC-50 [77] and AudioSet [78] datasets were used to extract cough and sneezing training samples.
T428	101-256	Sentence	denotes	The ESC-50 dataset is a labelled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification.
T429	257-416	Sentence	denotes	AudioSet consists of an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labelled, 10 s sound clips taken from YouTube videos.
T430	417-536	Sentence	denotes	Over 5000 samples were extracted for the transfer learning CNN model which was then divided to train and test datasets.
T431	537-619	Sentence	denotes	We examined the performance of the trained CNN models using coughing and sneezing.
T432	620-653	Sentence	denotes	The results are shown in Table 7.