PMC:7782580 / 1333-1653 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"19","span":{"begin":27,"end":55},"obj":"Disease"},{"id":"20","span":{"begin":205,"end":213},"obj":"Disease"},{"id":"21","span":{"begin":214,"end":223},"obj":"Disease"},{"id":"49","span":{"begin":260,"end":284},"obj":"Disease"},{"id":"50","span":{"begin":286,"end":294},"obj":"Disease"}],"attributes":[{"id":"A19","pred":"tao:has_database_id","subj":"19","obj":"MESH:D012141"},{"id":"A20","pred":"tao:has_database_id","subj":"20","obj":"MESH:C000657245"},{"id":"A21","pred":"tao:has_database_id","subj":"21","obj":"MESH:D007239"},{"id":"A49","pred":"tao:has_database_id","subj":"49","obj":"MESH:C000657245"},{"id":"A50","pred":"tao:has_database_id","subj":"50","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":" and comparison with other upper respiratory infections. Compared to expert evaluation of the images, the neural network achieved upwards of 99% specificity, showing promise for the automated detection of COVID-19 infection in clinical settings.\n\nIntroduction\nCoronavirus disease 2019 (COVID-19), a highly infectious dis"}

{"project":"LitCovid-PD-HP","denotations":[{"id":"T1","span":{"begin":33,"end":55},"obj":"Phenotype"}],"attributes":[{"id":"A1","pred":"hp_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/HP_0011947"}],"text":" and comparison with other upper respiratory infections. Compared to expert evaluation of the images, the neural network achieved upwards of 99% specificity, showing promise for the automated detection of COVID-19 infection in clinical settings.\n\nIntroduction\nCoronavirus disease 2019 (COVID-19), a highly infectious dis"}

{"project":"LitCovid-sentences","denotations":[{"id":"T11","span":{"begin":57,"end":245},"obj":"Sentence"},{"id":"T12","span":{"begin":247,"end":259},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":" and comparison with other upper respiratory infections. Compared to expert evaluation of the images, the neural network achieved upwards of 99% specificity, showing promise for the automated detection of COVID-19 infection in clinical settings.\n\nIntroduction\nCoronavirus disease 2019 (COVID-19), a highly infectious dis"}