PMC:7160614 / 24809-25067 JSONTXT

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    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"307","span":{"begin":165,"end":173},"obj":"Disease"}],"attributes":[{"id":"A307","pred":"tao:has_database_id","subj":"307","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":"The decision curve shows that if the threshold probability is over 10%, the application of the combination of clinical and radiological model (CR model) to diagnose COVID-19 adds more benefit than the clinical model (C model) and radiological model (R model)"}

    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T93","span":{"begin":165,"end":173},"obj":"Disease"}],"attributes":[{"id":"A93","pred":"mondo_id","subj":"T93","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"The decision curve shows that if the threshold probability is over 10%, the application of the combination of clinical and radiological model (CR model) to diagnose COVID-19 adds more benefit than the clinical model (C model) and radiological model (R model)"}

    LitCovid-PD-CHEBI

    {"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T16","span":{"begin":76,"end":87},"obj":"Chemical"}],"attributes":[{"id":"A16","pred":"chebi_id","subj":"T16","obj":"http://purl.obolibrary.org/obo/CHEBI_33232"}],"text":"The decision curve shows that if the threshold probability is over 10%, the application of the combination of clinical and radiological model (CR model) to diagnose COVID-19 adds more benefit than the clinical model (C model) and radiological model (R model)"}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T277","span":{"begin":0,"end":258},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"The decision curve shows that if the threshold probability is over 10%, the application of the combination of clinical and radiological model (CR model) to diagnose COVID-19 adds more benefit than the clinical model (C model) and radiological model (R model)"}