PMC:7311890 / 65131-65418 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T433","span":{"begin":53,"end":59},"obj":"Body_part"}],"attributes":[{"id":"A433","pred":"fma_id","subj":"T433","obj":"http://purl.org/sig/ont/fma/fma62970"}],"text":"The selection process finally created a panel of ten plasma metabolites, and its performance was evaluated in a logistic regression model with leave-one-out (LOO) cross-validation, which distinguished between COVID-19 patients and healthy controls with an area under curve (AUC) = 0.955."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T264","span":{"begin":209,"end":217},"obj":"Disease"}],"attributes":[{"id":"A264","pred":"mondo_id","subj":"T264","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"The selection process finally created a panel of ten plasma metabolites, and its performance was evaluated in a logistic regression model with leave-one-out (LOO) cross-validation, which distinguished between COVID-19 patients and healthy controls with an area under curve (AUC) = 0.955."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T596","span":{"begin":38,"end":39},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T597","span":{"begin":49,"end":52},"obj":"http://purl.obolibrary.org/obo/CLO_0050884"},{"id":"T598","span":{"begin":53,"end":59},"obj":"http://purl.obolibrary.org/obo/UBERON_0001969"},{"id":"T599","span":{"begin":110,"end":111},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"The selection process finally created a panel of ten plasma metabolites, and its performance was evaluated in a logistic regression model with leave-one-out (LOO) cross-validation, which distinguished between COVID-19 patients and healthy controls with an area under curve (AUC) = 0.955."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T73052","span":{"begin":60,"end":71},"obj":"Chemical"}],"attributes":[{"id":"A30846","pred":"chebi_id","subj":"T73052","obj":"http://purl.obolibrary.org/obo/CHEBI_25212"}],"text":"The selection process finally created a panel of ten plasma metabolites, and its performance was evaluated in a logistic regression model with leave-one-out (LOO) cross-validation, which distinguished between COVID-19 patients and healthy controls with an area under curve (AUC) = 0.955."}

{"project":"LitCovid-PubTator","denotations":[{"id":"1545","span":{"begin":218,"end":226},"obj":"Species"},{"id":"1547","span":{"begin":209,"end":217},"obj":"Disease"}],"attributes":[{"id":"A1545","pred":"tao:has_database_id","subj":"1545","obj":"Tax:9606"},{"id":"A1547","pred":"tao:has_database_id","subj":"1547","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 selection process finally created a panel of ten plasma metabolites, and its performance was evaluated in a logistic regression model with leave-one-out (LOO) cross-validation, which distinguished between COVID-19 patients and healthy controls with an area under curve (AUC) = 0.955."}

{"project":"LitCovid-sentences","denotations":[{"id":"T481","span":{"begin":0,"end":287},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"The selection process finally created a panel of ten plasma metabolites, and its performance was evaluated in a logistic regression model with leave-one-out (LOO) cross-validation, which distinguished between COVID-19 patients and healthy controls with an area under curve (AUC) = 0.955."}

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T1257","span":{"begin":53,"end":59},"obj":"UBERON:0001969"},{"id":"T1258","span":{"begin":60,"end":71},"obj":"CHEBI:25212;CHEBI:25212"},{"id":"T1259","span":{"begin":209,"end":217},"obj":"SP_7"},{"id":"T77199","span":{"begin":209,"end":217},"obj":"SP_7"},{"id":"T97300","span":{"begin":140,"end":144},"obj":"CHEBI:18344;CHEBI:18344"}],"text":"The selection process finally created a panel of ten plasma metabolites, and its performance was evaluated in a logistic regression model with leave-one-out (LOO) cross-validation, which distinguished between COVID-19 patients and healthy controls with an area under curve (AUC) = 0.955."}