PMC:7386785 / 112570-113601
Annnotations
LitCovid-PD-MONDO
{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T468","span":{"begin":50,"end":54},"obj":"Disease"},{"id":"T469","span":{"begin":314,"end":318},"obj":"Disease"},{"id":"T470","span":{"begin":655,"end":659},"obj":"Disease"}],"attributes":[{"id":"A468","pred":"mondo_id","subj":"T468","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"},{"id":"A469","pred":"mondo_id","subj":"T469","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"},{"id":"A470","pred":"mondo_id","subj":"T470","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"}],"text":"Purpose: to develop a tool for early diagnosis of SARS‐CoV2‐infected patientsDesign: cross‐sectional, retrospective, single‐centre (2 time frame study: training ‐ validation data set)Recruitment: 1311 patients who presented to the First Affiliated Hospital, School of Medicine, Zhejiang University with at least 1 SARS‐CoV‐2 RT‐PCR testSample size: n = 304 (73 cases) (= subset of the study including training dataset only)n = 95 (18 cases) (= validation dataset)Inclusion criteriaAll RT‐PCR‐positive cases; 1311\nAll RT‐PCR‐negative patients who came to the First Affiliated Hospital, School of Medicine, Zhejiang University and performed with at least 1 SARS‐CoV‐2 nucleic acid detection for analysis RT‐PCR\nFirst 60% of negative outpatients sorted by 'Z‐A' based on Chinese first name from Qingchun District (training dataset), and then final 40% who presented (validation dataset)\nExclusion criteriaAsymptomatic patients without history of exposure but had strong willingness for detection\nPatients with \"important\" missing data"}
LitCovid-PD-CLO
{"project":"LitCovid-PD-CLO","denotations":[{"id":"T89","span":{"begin":20,"end":21},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T90","span":{"begin":431,"end":433},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"},{"id":"T91","span":{"begin":756,"end":757},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Purpose: to develop a tool for early diagnosis of SARS‐CoV2‐infected patientsDesign: cross‐sectional, retrospective, single‐centre (2 time frame study: training ‐ validation data set)Recruitment: 1311 patients who presented to the First Affiliated Hospital, School of Medicine, Zhejiang University with at least 1 SARS‐CoV‐2 RT‐PCR testSample size: n = 304 (73 cases) (= subset of the study including training dataset only)n = 95 (18 cases) (= validation dataset)Inclusion criteriaAll RT‐PCR‐positive cases; 1311\nAll RT‐PCR‐negative patients who came to the First Affiliated Hospital, School of Medicine, Zhejiang University and performed with at least 1 SARS‐CoV‐2 nucleic acid detection for analysis RT‐PCR\nFirst 60% of negative outpatients sorted by 'Z‐A' based on Chinese first name from Qingchun District (training dataset), and then final 40% who presented (validation dataset)\nExclusion criteriaAsymptomatic patients without history of exposure but had strong willingness for detection\nPatients with \"important\" missing data"}
LitCovid-PD-CHEBI
{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T3716","span":{"begin":666,"end":678},"obj":"Chemical"},{"id":"T6195","span":{"begin":674,"end":678},"obj":"Chemical"}],"attributes":[{"id":"A33561","pred":"chebi_id","subj":"T3716","obj":"http://purl.obolibrary.org/obo/CHEBI_33696"},{"id":"A46890","pred":"chebi_id","subj":"T6195","obj":"http://purl.obolibrary.org/obo/CHEBI_37527"}],"text":"Purpose: to develop a tool for early diagnosis of SARS‐CoV2‐infected patientsDesign: cross‐sectional, retrospective, single‐centre (2 time frame study: training ‐ validation data set)Recruitment: 1311 patients who presented to the First Affiliated Hospital, School of Medicine, Zhejiang University with at least 1 SARS‐CoV‐2 RT‐PCR testSample size: n = 304 (73 cases) (= subset of the study including training dataset only)n = 95 (18 cases) (= validation dataset)Inclusion criteriaAll RT‐PCR‐positive cases; 1311\nAll RT‐PCR‐negative patients who came to the First Affiliated Hospital, School of Medicine, Zhejiang University and performed with at least 1 SARS‐CoV‐2 nucleic acid detection for analysis RT‐PCR\nFirst 60% of negative outpatients sorted by 'Z‐A' based on Chinese first name from Qingchun District (training dataset), and then final 40% who presented (validation dataset)\nExclusion criteriaAsymptomatic patients without history of exposure but had strong willingness for detection\nPatients with \"important\" missing data"}
LitCovid-sentences
{"project":"LitCovid-sentences","denotations":[{"id":"T1343","span":{"begin":196,"end":512},"obj":"Sentence"},{"id":"T1344","span":{"begin":513,"end":708},"obj":"Sentence"},{"id":"T1345","span":{"begin":709,"end":883},"obj":"Sentence"},{"id":"T1346","span":{"begin":884,"end":992},"obj":"Sentence"},{"id":"T1347","span":{"begin":993,"end":1031},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Purpose: to develop a tool for early diagnosis of SARS‐CoV2‐infected patientsDesign: cross‐sectional, retrospective, single‐centre (2 time frame study: training ‐ validation data set)Recruitment: 1311 patients who presented to the First Affiliated Hospital, School of Medicine, Zhejiang University with at least 1 SARS‐CoV‐2 RT‐PCR testSample size: n = 304 (73 cases) (= subset of the study including training dataset only)n = 95 (18 cases) (= validation dataset)Inclusion criteriaAll RT‐PCR‐positive cases; 1311\nAll RT‐PCR‐negative patients who came to the First Affiliated Hospital, School of Medicine, Zhejiang University and performed with at least 1 SARS‐CoV‐2 nucleic acid detection for analysis RT‐PCR\nFirst 60% of negative outpatients sorted by 'Z‐A' based on Chinese first name from Qingchun District (training dataset), and then final 40% who presented (validation dataset)\nExclusion criteriaAsymptomatic patients without history of exposure but had strong willingness for detection\nPatients with \"important\" missing data"}
LitCovid-PubTator
{"project":"LitCovid-PubTator","denotations":[{"id":"2051","span":{"begin":50,"end":59},"obj":"Species"},{"id":"2052","span":{"begin":201,"end":209},"obj":"Species"},{"id":"2053","span":{"begin":314,"end":324},"obj":"Species"},{"id":"2054","span":{"begin":533,"end":541},"obj":"Species"},{"id":"2055","span":{"begin":655,"end":665},"obj":"Species"},{"id":"2056","span":{"begin":915,"end":923},"obj":"Species"}],"attributes":[{"id":"A2051","pred":"tao:has_database_id","subj":"2051","obj":"Tax:2697049"},{"id":"A2052","pred":"tao:has_database_id","subj":"2052","obj":"Tax:9606"},{"id":"A2053","pred":"tao:has_database_id","subj":"2053","obj":"Tax:2697049"},{"id":"A2054","pred":"tao:has_database_id","subj":"2054","obj":"Tax:9606"},{"id":"A2055","pred":"tao:has_database_id","subj":"2055","obj":"Tax:2697049"},{"id":"A2056","pred":"tao:has_database_id","subj":"2056","obj":"Tax:9606"}],"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":"Purpose: to develop a tool for early diagnosis of SARS‐CoV2‐infected patientsDesign: cross‐sectional, retrospective, single‐centre (2 time frame study: training ‐ validation data set)Recruitment: 1311 patients who presented to the First Affiliated Hospital, School of Medicine, Zhejiang University with at least 1 SARS‐CoV‐2 RT‐PCR testSample size: n = 304 (73 cases) (= subset of the study including training dataset only)n = 95 (18 cases) (= validation dataset)Inclusion criteriaAll RT‐PCR‐positive cases; 1311\nAll RT‐PCR‐negative patients who came to the First Affiliated Hospital, School of Medicine, Zhejiang University and performed with at least 1 SARS‐CoV‐2 nucleic acid detection for analysis RT‐PCR\nFirst 60% of negative outpatients sorted by 'Z‐A' based on Chinese first name from Qingchun District (training dataset), and then final 40% who presented (validation dataset)\nExclusion criteriaAsymptomatic patients without history of exposure but had strong willingness for detection\nPatients with \"important\" missing data"}