PMC:7160614 / 392-569
Annnotations
LitCovid-PubTator
{"project":"LitCovid-PubTator","denotations":[{"id":"15","span":{"begin":42,"end":50},"obj":"Disease"},{"id":"22","span":{"begin":147,"end":155},"obj":"Disease"}],"attributes":[{"id":"A15","pred":"tao:has_database_id","subj":"15","obj":"MESH:C000657245"},{"id":"A22","pred":"tao:has_database_id","subj":"22","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":"velop and validate a diagnostic model for COVID-19 based on radiological semantic and clinical features alone.\n\nMethods\nA consecutive cohort of 70 COVID-19 and 66 non-COVID-19 p"}
LitCovid-PD-MONDO
{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T7","span":{"begin":42,"end":50},"obj":"Disease"},{"id":"T8","span":{"begin":147,"end":155},"obj":"Disease"},{"id":"T9","span":{"begin":167,"end":175},"obj":"Disease"}],"attributes":[{"id":"A7","pred":"mondo_id","subj":"T7","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A8","pred":"mondo_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A9","pred":"mondo_id","subj":"T9","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"velop and validate a diagnostic model for COVID-19 based on radiological semantic and clinical features alone.\n\nMethods\nA consecutive cohort of 70 COVID-19 and 66 non-COVID-19 p"}
LitCovid-PD-CLO
{"project":"LitCovid-PD-CLO","denotations":[{"id":"T5","span":{"begin":19,"end":20},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T6","span":{"begin":120,"end":121},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"velop and validate a diagnostic model for COVID-19 based on radiological semantic and clinical features alone.\n\nMethods\nA consecutive cohort of 70 COVID-19 and 66 non-COVID-19 p"}
LitCovid-sentences
{"project":"LitCovid-sentences","denotations":[{"id":"T6","span":{"begin":112,"end":119},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"velop and validate a diagnostic model for COVID-19 based on radiological semantic and clinical features alone.\n\nMethods\nA consecutive cohort of 70 COVID-19 and 66 non-COVID-19 p"}