PMC:7782580 / 21138-23240 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"167","span":{"begin":349,"end":357},"obj":"Disease"},{"id":"169","span":{"begin":1237,"end":1245},"obj":"Disease"}],"attributes":[{"id":"A167","pred":"tao:has_database_id","subj":"167","obj":"MESH:C000657245"},{"id":"A169","pred":"tao:has_database_id","subj":"169","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":"Table 3 Performance indices of the classification framework (CNNCF) of the experiments B and C, and the average performance of the 7th-year respiratory resident (Respira.), the 3rd-year emergency resident (Emerg.), the 1st-year respiratory intern (Intern), the 5th-year radiologist (Rad-5th), and the 3rd-year radiologist (Rad-3rd).\nCT (*Normal and COVID-19 cases)\nCNNCF Respire. Emerg. Intern. Rad-5th Rad-3rd\nF1 (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8571, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8667, 1.0000)\nKappa (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.7422, 1.0000) 1.0000 (1.0000, 1.0000) 0.9000 (0.7487, 1.0000)\nSpecificity (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8333, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8333, 1.0000)\nSensitivity (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8333, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8421, 1.0000)\nPrecision (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8235, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8333, 1.0000)\nCT (Influenza and COVID-19 cases)\nCNNCF Respire. Emerg. Intern. Rad-5th Rad-3rd\nF1 (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.8966 (0.7332, 1.0000) 0.8000 (0.6207, 0.9412) 0.9677 (0.8889, 1.0000) 0.8667 (0.7199, 0.9744)\nKappa (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.8236 (0.5817, 1.0000) 0. 6500 (0.3698, 0.8852) 0.9421 (0.8148, 1.0000) 0.7667 (0.5349, 0.9429)\nSpecificity (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9048 (0.7619, 1.0000) 0.8500 (0.6818, 1.0000) 0.9500 (0.8333, 1.0000) 0.9000 (0.7619, 1.0000)\nSensitivity (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9286 (0.7500, 1.0000) 0.8000 (0.5714, 1.0000) 1.0000 (1.0000, 1.0000) 0.8667 (0.6667, 1.0000)\nPrecision (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.8667 (0.6874, 1.0000) 0.8000 (0.5881, 1.0000) 0.9375 (0.8000, 1.0000) 0.8667 (0.6667, 1.0000)"}

{"project":"LitCovid-sentences","denotations":[{"id":"T158","span":{"begin":0,"end":332},"obj":"Sentence"},{"id":"T159","span":{"begin":333,"end":364},"obj":"Sentence"},{"id":"T160","span":{"begin":365,"end":379},"obj":"Sentence"},{"id":"T161","span":{"begin":380,"end":386},"obj":"Sentence"},{"id":"T162","span":{"begin":387,"end":394},"obj":"Sentence"},{"id":"T163","span":{"begin":395,"end":410},"obj":"Sentence"},{"id":"T164","span":{"begin":411,"end":566},"obj":"Sentence"},{"id":"T165","span":{"begin":567,"end":725},"obj":"Sentence"},{"id":"T166","span":{"begin":726,"end":890},"obj":"Sentence"},{"id":"T167","span":{"begin":891,"end":1055},"obj":"Sentence"},{"id":"T168","span":{"begin":1056,"end":1218},"obj":"Sentence"},{"id":"T169","span":{"begin":1219,"end":1252},"obj":"Sentence"},{"id":"T170","span":{"begin":1253,"end":1267},"obj":"Sentence"},{"id":"T171","span":{"begin":1268,"end":1274},"obj":"Sentence"},{"id":"T172","span":{"begin":1275,"end":1282},"obj":"Sentence"},{"id":"T173","span":{"begin":1283,"end":1298},"obj":"Sentence"},{"id":"T174","span":{"begin":1299,"end":1453},"obj":"Sentence"},{"id":"T175","span":{"begin":1454,"end":1542},"obj":"Sentence"},{"id":"T176","span":{"begin":1543,"end":1612},"obj":"Sentence"},{"id":"T177","span":{"begin":1613,"end":1776},"obj":"Sentence"},{"id":"T178","span":{"begin":1777,"end":1940},"obj":"Sentence"},{"id":"T179","span":{"begin":1941,"end":2102},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 3 Performance indices of the classification framework (CNNCF) of the experiments B and C, and the average performance of the 7th-year respiratory resident (Respira.), the 3rd-year emergency resident (Emerg.), the 1st-year respiratory intern (Intern), the 5th-year radiologist (Rad-5th), and the 3rd-year radiologist (Rad-3rd).\nCT (*Normal and COVID-19 cases)\nCNNCF Respire. Emerg. Intern. Rad-5th Rad-3rd\nF1 (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8571, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8667, 1.0000)\nKappa (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.7422, 1.0000) 1.0000 (1.0000, 1.0000) 0.9000 (0.7487, 1.0000)\nSpecificity (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8333, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8333, 1.0000)\nSensitivity (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8333, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8421, 1.0000)\nPrecision (95% CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8235, 1.0000) 1.0000 (1.0000, 1.0000) 0.9500 (0.8333, 1.0000)\nCT (Influenza and COVID-19 cases)\nCNNCF Respire. Emerg. Intern. Rad-5th Rad-3rd\nF1 (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.8966 (0.7332, 1.0000) 0.8000 (0.6207, 0.9412) 0.9677 (0.8889, 1.0000) 0.8667 (0.7199, 0.9744)\nKappa (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.8236 (0.5817, 1.0000) 0. 6500 (0.3698, 0.8852) 0.9421 (0.8148, 1.0000) 0.7667 (0.5349, 0.9429)\nSpecificity (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9048 (0.7619, 1.0000) 0.8500 (0.6818, 1.0000) 0.9500 (0.8333, 1.0000) 0.9000 (0.7619, 1.0000)\nSensitivity (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.9286 (0.7500, 1.0000) 0.8000 (0.5714, 1.0000) 1.0000 (1.0000, 1.0000) 0.8667 (0.6667, 1.0000)\nPrecision (95%CI) 1.0000 (1.0000, 1.0000) 1.0000 (1.0000, 1.0000) 0.8667 (0.6874, 1.0000) 0.8000 (0.5881, 1.0000) 0.9375 (0.8000, 1.0000) 0.8667 (0.6667, 1.0000)"}