PMC:7558333 / 2196-2547 JSONTXT

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    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T16","span":{"begin":9,"end":31},"obj":"Disease"},{"id":"T17","span":{"begin":18,"end":31},"obj":"Disease"},{"id":"T18","span":{"begin":33,"end":35},"obj":"Disease"},{"id":"T19","span":{"begin":275,"end":283},"obj":"Disease"}],"attributes":[{"id":"A16","pred":"mondo_id","subj":"T16","obj":"http://purl.obolibrary.org/obo/MONDO_0000240"},{"id":"A17","pred":"mondo_id","subj":"T17","obj":"http://purl.obolibrary.org/obo/MONDO_0005657"},{"id":"A18","pred":"mondo_id","subj":"T18","obj":"http://purl.obolibrary.org/obo/MONDO_0000240"},{"id":"A19","pred":"mondo_id","subj":"T19","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"classify invasive aspergillosis (IA) in ICU patients: the AspICU algorithm [3]. This classification is considered as robust because it has been evaluated in patients for whom autopsy results were available, but it is quite awkward to use in routine practice, particularly in COVID-19 patients with clinical and CT-scan signs hard to interpret [4]. Bes"}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T20","span":{"begin":135,"end":138},"obj":"http://purl.obolibrary.org/obo/CLO_0051582"}],"text":"classify invasive aspergillosis (IA) in ICU patients: the AspICU algorithm [3]. This classification is considered as robust because it has been evaluated in patients for whom autopsy results were available, but it is quite awkward to use in routine practice, particularly in COVID-19 patients with clinical and CT-scan signs hard to interpret [4]. Bes"}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T22","span":{"begin":80,"end":347},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"classify invasive aspergillosis (IA) in ICU patients: the AspICU algorithm [3]. This classification is considered as robust because it has been evaluated in patients for whom autopsy results were available, but it is quite awkward to use in routine practice, particularly in COVID-19 patients with clinical and CT-scan signs hard to interpret [4]. Bes"}

    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"52","span":{"begin":44,"end":52},"obj":"Species"},{"id":"53","span":{"begin":157,"end":165},"obj":"Species"},{"id":"54","span":{"begin":284,"end":292},"obj":"Species"},{"id":"58","span":{"begin":9,"end":31},"obj":"Disease"},{"id":"59","span":{"begin":275,"end":283},"obj":"Disease"}],"attributes":[{"id":"A52","pred":"tao:has_database_id","subj":"52","obj":"Tax:9606"},{"id":"A53","pred":"tao:has_database_id","subj":"53","obj":"Tax:9606"},{"id":"A54","pred":"tao:has_database_id","subj":"54","obj":"Tax:9606"},{"id":"A58","pred":"tao:has_database_id","subj":"58","obj":"MESH:D055744"},{"id":"A59","pred":"tao:has_database_id","subj":"59","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":"classify invasive aspergillosis (IA) in ICU patients: the AspICU algorithm [3]. This classification is considered as robust because it has been evaluated in patients for whom autopsy results were available, but it is quite awkward to use in routine practice, particularly in COVID-19 patients with clinical and CT-scan signs hard to interpret [4]. Bes"}

    2_test

    {"project":"2_test","denotations":[{"id":"32664423-22517788-60101693","span":{"begin":76,"end":77},"obj":"22517788"},{"id":"32664423-28954783-60101694","span":{"begin":344,"end":345},"obj":"28954783"}],"text":"classify invasive aspergillosis (IA) in ICU patients: the AspICU algorithm [3]. This classification is considered as robust because it has been evaluated in patients for whom autopsy results were available, but it is quite awkward to use in routine practice, particularly in COVID-19 patients with clinical and CT-scan signs hard to interpret [4]. Bes"}