PMC:7143846 / 7958-8249 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"95","span":{"begin":97,"end":123},"obj":"Disease"},{"id":"96","span":{"begin":157,"end":164},"obj":"Disease"},{"id":"97","span":{"begin":166,"end":176},"obj":"Disease"}],"attributes":[{"id":"A95","pred":"tao:has_database_id","subj":"95","obj":"MESH:D007859"},{"id":"A96","pred":"tao:has_database_id","subj":"96","obj":"MESH:D001007"},{"id":"A97","pred":"tao:has_database_id","subj":"97","obj":"MESH:D000275"}],"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":"These predictive models are tools developed for online psychology research based on big data and deep learning technologies, including emotional indicators (anxiety, depression, indignation, and Oxford happiness), cognitive indicators (social risk judgment and life satisfaction), and so on."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T32","span":{"begin":157,"end":176},"obj":"Disease"},{"id":"T33","span":{"begin":157,"end":164},"obj":"Disease"},{"id":"T35","span":{"begin":166,"end":176},"obj":"Disease"}],"attributes":[{"id":"A32","pred":"mondo_id","subj":"T32","obj":"http://purl.obolibrary.org/obo/MONDO_0041086"},{"id":"A33","pred":"mondo_id","subj":"T33","obj":"http://purl.obolibrary.org/obo/MONDO_0005618"},{"id":"A34","pred":"mondo_id","subj":"T33","obj":"http://purl.obolibrary.org/obo/MONDO_0011918"},{"id":"A35","pred":"mondo_id","subj":"T35","obj":"http://purl.obolibrary.org/obo/MONDO_0002050"}],"text":"These predictive models are tools developed for online psychology research based on big data and deep learning technologies, including emotional indicators (anxiety, depression, indignation, and Oxford happiness), cognitive indicators (social risk judgment and life satisfaction), and so on."}

{"project":"LitCovid-PD-HP","denotations":[{"id":"T8","span":{"begin":157,"end":164},"obj":"Phenotype"},{"id":"T9","span":{"begin":166,"end":176},"obj":"Phenotype"}],"attributes":[{"id":"A8","pred":"hp_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/HP_0000739"},{"id":"A9","pred":"hp_id","subj":"T9","obj":"http://purl.obolibrary.org/obo/HP_0000716"}],"text":"These predictive models are tools developed for online psychology research based on big data and deep learning technologies, including emotional indicators (anxiety, depression, indignation, and Oxford happiness), cognitive indicators (social risk judgment and life satisfaction), and so on."}

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T13","span":{"begin":102,"end":110},"obj":"http://purl.obolibrary.org/obo/GO_0007612"}],"text":"These predictive models are tools developed for online psychology research based on big data and deep learning technologies, including emotional indicators (anxiety, depression, indignation, and Oxford happiness), cognitive indicators (social risk judgment and life satisfaction), and so on."}

{"project":"LitCovid-sentences","denotations":[{"id":"T58","span":{"begin":0,"end":291},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"These predictive models are tools developed for online psychology research based on big data and deep learning technologies, including emotional indicators (anxiety, depression, indignation, and Oxford happiness), cognitive indicators (social risk judgment and life satisfaction), and so on."}