{"id":"https://openalex.org/W3158053269","doi":"https://doi.org/10.1109/jbhi.2021.3076086","title":"A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study","display_name":"A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study","publication_year":2021,"publication_date":"2021-04-27","ids":{"openalex":"https://openalex.org/W3158053269","doi":"https://doi.org/10.1109/jbhi.2021.3076086","mag":"3158053269","pmid":"https://pubmed.ncbi.nlm.nih.gov/33905341"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3076086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3076086","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8545077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103171478","display_name":"Siwen Wang","orcid":"https://orcid.org/0000-0002-9908-9724"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siwen Wang","raw_affiliation_strings":["CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730127","display_name":"Di Dong","orcid":"https://orcid.org/0000-0003-0783-3171"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Dong","raw_affiliation_strings":["CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420617","display_name":"Liang Li","orcid":"https://orcid.org/0000-0001-5648-724X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210140357","display_name":"Renmin Hospital of Wuhan University","ror":"https://ror.org/03ekhbz91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140357"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Li","raw_affiliation_strings":["Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210140357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031118344","display_name":"Hailin Li","orcid":"https://orcid.org/0000-0001-6924-9689"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailin Li","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China","CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108405123","display_name":"Yan Bai","orcid":"https://orcid.org/0000-0001-5987-9003"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I4210133534","display_name":"Henan Provincial People's Hospital","ror":"https://ror.org/03f72zw41","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133534"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Bai","raw_affiliation_strings":["Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210133534","https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102707681","display_name":"Yahua Hu","orcid":"https://orcid.org/0000-0003-3115-5956"},"institutions":[{"id":"https://openalex.org/I4210122157","display_name":"Hubei Polytechnic University","ror":"https://ror.org/01z07eq06","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122157"]},{"id":"https://openalex.org/I4210161227","display_name":"Huangshi Central Hospital","ror":"https://ror.org/05ncqj764","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161227"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahua Hu","raw_affiliation_strings":["Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, China","institution_ids":["https://openalex.org/I4210161227","https://openalex.org/I4210122157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052850128","display_name":"Yuanyi Huang","orcid":"https://orcid.org/0000-0001-5665-5952"},"institutions":[{"id":"https://openalex.org/I4210148362","display_name":"Jingzhou Central Hospital","ror":"https://ror.org/04gnkpp77","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210148362"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyi Huang","raw_affiliation_strings":["Department of Radiology, Jingzhou Central Hospital, Jingzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Jingzhou Central Hospital, Jingzhou, China","institution_ids":["https://openalex.org/I4210148362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058325076","display_name":"Xiangrong Yu","orcid":"https://orcid.org/0000-0003-2656-9847"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]},{"id":"https://openalex.org/I4210105182","display_name":"Zhuhai People's Hospital","ror":"https://ror.org/01k1x3b35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105182"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Yu","raw_affiliation_strings":["Department of Medical Imaging, Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China","institution_ids":["https://openalex.org/I4210105182","https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011759264","display_name":"Sibin Liu","orcid":"https://orcid.org/0000-0002-2791-0683"},"institutions":[{"id":"https://openalex.org/I4210148362","display_name":"Jingzhou Central Hospital","ror":"https://ror.org/04gnkpp77","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210148362"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sibin Liu","raw_affiliation_strings":["Department of Radiology, Jingzhou Central Hospital, Jingzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Jingzhou Central Hospital, Jingzhou, China","institution_ids":["https://openalex.org/I4210148362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085033260","display_name":"Xiaoming Qiu","orcid":"https://orcid.org/0000-0002-0789-6247"},"institutions":[{"id":"https://openalex.org/I4210122157","display_name":"Hubei Polytechnic University","ror":"https://ror.org/01z07eq06","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122157"]},{"id":"https://openalex.org/I4210161227","display_name":"Huangshi Central Hospital","ror":"https://ror.org/05ncqj764","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161227"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Qiu","raw_affiliation_strings":["Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, China","institution_ids":["https://openalex.org/I4210161227","https://openalex.org/I4210122157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023266686","display_name":"Ligong Lu","orcid":"https://orcid.org/0000-0003-1405-0052"},"institutions":[{"id":"https://openalex.org/I4210105182","display_name":"Zhuhai People's Hospital","ror":"https://ror.org/01k1x3b35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105182"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ligong Lu","raw_affiliation_strings":["Zhuhai Interventional Medical Center, Zhuhai Precision Medical Center, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhuhai Interventional Medical Center, Zhuhai Precision Medical Center, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China","institution_ids":["https://openalex.org/I4210105182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748031","display_name":"Meiyun Wang","orcid":"https://orcid.org/0000-0001-8779-6184"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I4210133534","display_name":"Henan Provincial People's Hospital","ror":"https://ror.org/03f72zw41","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133534"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyun Wang","raw_affiliation_strings":["Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8779-6184","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210133534","https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006317619","display_name":"Yunfei Zha","orcid":"https://orcid.org/0000-0002-8714-7472"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210140357","display_name":"Renmin Hospital of Wuhan University","ror":"https://ror.org/03ekhbz91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140357"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Zha","raw_affiliation_strings":["Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210140357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429270","display_name":"Jie Tian","orcid":"https://orcid.org/0000-0003-0498-0432"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tian","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China","CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0498-0432","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5103171478"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879","https://openalex.org/I4210100255","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":5.0187,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.95877832,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"25","issue":"7","first_page":"2353","last_page":"2362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.6913999915122986,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.6913999915122986,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.17110000550746918,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10041","display_name":"COVID-19 Clinical Research Studies","score":0.07289999723434448,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.8068841695785522},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7181392312049866},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.5809105038642883},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5705437660217285},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.5059360861778259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49017268419265747},{"id":"https://openalex.org/keywords/multicenter-study","display_name":"Multicenter study","score":0.4731215834617615},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4553662836551666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4535459280014038},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.2822234332561493},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.19103509187698364},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.11869814991950989}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8068841695785522},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7181392312049866},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.5809105038642883},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.5705437660217285},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.5059360861778259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49017268419265747},{"id":"https://openalex.org/C2992435398","wikidata":"https://www.wikidata.org/wiki/Q6934595","display_name":"Multicenter study","level":3,"score":0.4731215834617615},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4553662836551666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4535459280014038},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.2822234332561493},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19103509187698364},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.11869814991950989},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C168563851","wikidata":"https://www.wikidata.org/wiki/Q1436668","display_name":"Randomized controlled trial","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015897","descriptor_name":"Comorbidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015897","descriptor_name":"Comorbidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015897","descriptor_name":"Comorbidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015897","descriptor_name":"Comorbidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2021.3076086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3076086","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:33905341","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33905341","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8545077","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8545077","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE J Biomed Health Inform","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:8545077","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8545077","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE J Biomed Health Inform","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7699999809265137,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1562841400","display_name":null,"funder_award_id":"2017YFC1309100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2024671333","display_name":null,"funder_award_id":"91959130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2144805953","display_name":null,"funder_award_id":"2017175","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G2507597887","display_name":null,"funder_award_id":"2017175","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G2584531255","display_name":null,"funder_award_id":"QYZDJ-SSW-JSC005","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G2856080108","display_name":null,"funder_award_id":"81771924","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3095444099","display_name":null,"funder_award_id":"2017YFC1309100","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G3149916818","display_name":null,"funder_award_id":"QYZDJ-SSW-JSC005","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G3188853284","display_name":null,"funder_award_id":"81930053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4121707789","display_name":null,"funder_award_id":"XDB 38040200","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G4748108124","display_name":null,"funder_award_id":"81527805","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G5180630892","display_name":null,"funder_award_id":"QYZDJ-SSW-JSC005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5324812680","display_name":null,"funder_award_id":"81971776, 81771924","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5363342645","display_name":null,"funder_award_id":"81971776","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5453165698","display_name":null,"funder_award_id":"2017YFA0205200","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G5577442718","display_name":null,"funder_award_id":"GJJSTD20170004","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G566861090","display_name":null,"funder_award_id":"2017YFA0205200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6307425012","display_name":null,"funder_award_id":"81930053","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6373189499","display_name":null,"funder_award_id":"82022036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6837953518","display_name":null,"funder_award_id":"81527805","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6841054713","display_name":null,"funder_award_id":"2017175","funder_id":"https://openalex.org/F4320335892","funder_display_name":"Youth Innovation Promotion Association"},{"id":"https://openalex.org/G7243860151","display_name":null,"funder_award_id":"38040200","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G7811742044","display_name":null,"funder_award_id":"81930053","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G8286604387","display_name":null,"funder_award_id":"81771924","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8680945403","display_name":null,"funder_award_id":"JSC005","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G958474205","display_name":null,"funder_award_id":"2017YFA0205200","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W70551643","https://openalex.org/W1966976587","https://openalex.org/W2102921788","https://openalex.org/W2107956883","https://openalex.org/W2117352205","https://openalex.org/W2141344114","https://openalex.org/W2194775991","https://openalex.org/W2760861884","https://openalex.org/W2767128594","https://openalex.org/W2911605224","https://openalex.org/W2916424621","https://openalex.org/W2962858109","https://openalex.org/W3001118548","https://openalex.org/W3004906315","https://openalex.org/W3005079553","https://openalex.org/W3006643024","https://openalex.org/W3009799538","https://openalex.org/W3010278110","https://openalex.org/W3011048075","https://openalex.org/W3012747666","https://openalex.org/W3013125498","https://openalex.org/W3013283620","https://openalex.org/W3013633552","https://openalex.org/W3013758358","https://openalex.org/W3015696390","https://openalex.org/W3016572296","https://openalex.org/W3016846376","https://openalex.org/W3017170546","https://openalex.org/W3022592783","https://openalex.org/W3023787531","https://openalex.org/W3027764902","https://openalex.org/W3034823740","https://openalex.org/W3034988614","https://openalex.org/W3037163353","https://openalex.org/W3041041945","https://openalex.org/W3042100171","https://openalex.org/W3165656738","https://openalex.org/W4294214983"],"related_works":["https://openalex.org/W3127156785","https://openalex.org/W3009669391","https://openalex.org/W4200329650","https://openalex.org/W4205215807","https://openalex.org/W3005417802","https://openalex.org/W4205754011","https://openalex.org/W4226296940","https://openalex.org/W3028835529","https://openalex.org/W3036314732","https://openalex.org/W3134376730"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Coronavirus":[1],"disease":[2],"2019":[3],"(COVID-19)":[4],"has":[5],"caused":[6],"considerable":[7],"morbidity":[8],"and":[9,55,86,109,141,156,161,196,213,242],"mortality,":[10],"especially":[11],"in":[12,159,220],"patients":[13,36,57,121,193,222],"with":[14,37,223],"underlying":[15,38,224],"health":[16,39,225],"conditions.":[17],"A":[18],"precise":[19],"prognostic":[20],"tool":[21],"to":[22,73,115],"identify":[23,217],"poor":[24,53,123,200,218],"outcomes":[25,201,219],"among":[26],"such":[27],"cases":[28,50],"is":[29],"desperately":[30],"needed.":[31],"METHODS:":[32],"Total":[33],"400":[34],"COVID-19":[35,120,221],"conditions":[40,226],"were":[41,71],"retrospectively":[42],"recruited":[43],"from":[44,227],"4":[45],"centers,":[46],"including":[47],"54":[48],"dead":[49],"(labeled":[51],"as":[52,175],"outcomes)":[54],"346":[56],"discharged":[58],"or":[59],"hospitalized":[60],"for":[61,180,244],"at":[62],"least":[63],"7":[64],"days":[65],"since":[66],"initial":[67,97,228],"CT":[68,229],"scan.":[69],"Patients":[70],"allocated":[72],"a":[74,80,103,110,176],"training":[75],"set":[76,82,90],"(n":[77,83,91],"=":[78,84,92],"271),":[79],"test":[81,89,160,163],"68),":[85],"an":[87,96],"external":[88,162],"61).":[93],"We":[94],"proposed":[95],"CT-derived":[98],"hybrid":[99,146,173,207],"model":[100,108,114,126,147,174,208],"by":[101,130],"combining":[102],"3D-ResNet10":[104],"based":[105],"deep":[106,211],"learning":[107,212],"quantitative":[111],"3D":[112],"radiomics":[113,214],"predict":[116],"the":[117,133,172],"probability":[118],"of":[119,150,198,240],"reaching":[122,199],"outcome.":[124],"The":[125,145,168,206,231],"performance":[127],"was":[128],"assessed":[129],"area":[131],"under":[132],"receiver":[134],"operating":[135],"characteristic":[136],"curve":[137],"(AUC),":[138],"survival":[139,169],"analysis,":[140],"subgroup":[142],"analysis.":[143],"RESULTS:":[144],"achieved":[148],"AUCs":[149],"0.876":[151],"(95%":[152],"confidence":[153],"interval:":[154],"0.752-0.999)":[155],"0.864":[157],"(0.766-0.962)":[158],"sets,":[164],"outperforming":[165],"other":[166],"models.":[167],"analysis":[170],"verified":[171],"significant":[177],"risk":[178,233,239],"factor":[179],"mortality":[181],"(hazard":[182],"ratio,":[183],"2.049":[184],"[1.462-2.871],":[185],"P":[186],"<":[187,203],"0.001)":[188],"that":[189,209],"could":[190,215,236],"well":[191],"stratify":[192],"into":[194],"high-risk":[195],"low-risk":[197],"(P":[202],"0.001).":[204],"CONCLUSION:":[205],"combined":[210],"accurately":[216],"scans.":[230],"great":[232],"stratification":[234],"ability":[235],"help":[237],"alert":[238],"death":[241],"allow":[243],"timely":[245],"surveillance":[246],"plans.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
