{"id":"https://openalex.org/W4283810499","doi":"https://doi.org/10.3390/s22135007","title":"Development and Validation of a Multimodal-Based Prognosis and Intervention Prediction Model for COVID-19 Patients in a Multicenter Cohort","display_name":"Development and Validation of a Multimodal-Based Prognosis and Intervention Prediction Model for COVID-19 Patients in a Multicenter Cohort","publication_year":2022,"publication_date":"2022-07-02","ids":{"openalex":"https://openalex.org/W4283810499","doi":"https://doi.org/10.3390/s22135007","pmid":"https://pubmed.ncbi.nlm.nih.gov/35808502"},"language":"en","primary_location":{"id":"doi:10.3390/s22135007","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22135007","pdf_url":"https://www.mdpi.com/1424-8220/22/13/5007/pdf?version=1657084547","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/13/5007/pdf?version=1657084547","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100652915","display_name":"Jeong Hoon Lee","orcid":"https://orcid.org/0000-0002-1789-8270"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]},{"id":"https://openalex.org/I4210092150","display_name":"Chonnam National University Hospital","ror":"https://ror.org/00f200z37","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I111277659","https://openalex.org/I4210092150"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong Hoon Lee","raw_affiliation_strings":["Department of Radiology, Chonnam National University Hospital, 42 Jebong-ro, Dong-gu, Gwangju 61469, Korea","Lunit Inc., 27, Teheran-ro 2-gil, Gangnam-gu, Seoul 06241, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Chonnam National University Hospital, 42 Jebong-ro, Dong-gu, Gwangju 61469, Korea","institution_ids":["https://openalex.org/I111277659","https://openalex.org/I4210092150"]},{"raw_affiliation_string":"Lunit Inc., 27, Teheran-ro 2-gil, Gangnam-gu, Seoul 06241, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066330356","display_name":"Jong Seok Ahn","orcid":"https://orcid.org/0000-0003-1189-5981"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jong Seok Ahn","raw_affiliation_strings":["Lunit Inc., 27, Teheran-ro 2-gil, Gangnam-gu, Seoul 06241, Korea"],"affiliations":[{"raw_affiliation_string":"Lunit Inc., 27, Teheran-ro 2-gil, Gangnam-gu, Seoul 06241, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022590014","display_name":"Myung Jin Chung","orcid":"https://orcid.org/0000-0002-6271-3343"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]},{"id":"https://openalex.org/I2802194831","display_name":"Samsung Medical Center","ror":"https://ror.org/05a15z872","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2250650973","https://openalex.org/I2802194831"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myung Jin Chung","raw_affiliation_strings":["Department of Radiology and Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea","institution_ids":["https://openalex.org/I2802194831","https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014840805","display_name":"Yeon Joo Jeong","orcid":"https://orcid.org/0000-0002-1741-9604"},"institutions":[{"id":"https://openalex.org/I4210115854","display_name":"Pusan National University Hospital","ror":"https://ror.org/027zf7h57","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210115854","https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeon Joo Jeong","raw_affiliation_strings":["Department of Radiology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan 49241, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Busan 49241, Korea","institution_ids":["https://openalex.org/I4210115854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008393937","display_name":"Jin Hwan Kim","orcid":"https://orcid.org/0000-0002-1632-2421"},"institutions":[{"id":"https://openalex.org/I52010207","display_name":"Keimyung University","ror":"https://ror.org/00tjv0s33","country_code":"KR","type":"education","lineage":["https://openalex.org/I52010207"]},{"id":"https://openalex.org/I4210143602","display_name":"Chungnam National University Hospital","ror":"https://ror.org/04353mq94","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I196345858","https://openalex.org/I4210143602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Hwan Kim","raw_affiliation_strings":["Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon 35015, Korea","Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu 42601, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon 35015, Korea","institution_ids":["https://openalex.org/I4210143602"]},{"raw_affiliation_string":"Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu 42601, Korea","institution_ids":["https://openalex.org/I52010207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113919007","display_name":"Jae Kwang Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I2801673063","display_name":"Kyungpook National University Hospital","ror":"https://ror.org/04qn0xg47","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801673063","https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Kwang Lim","raw_affiliation_strings":["Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu 41944, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu 41944, Korea","institution_ids":["https://openalex.org/I2801673063"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417163","display_name":"Jin Young Kim","orcid":"https://orcid.org/0000-0001-6714-8358"},"institutions":[{"id":"https://openalex.org/I4210143602","display_name":"Chungnam National University Hospital","ror":"https://ror.org/04353mq94","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I196345858","https://openalex.org/I4210143602"]},{"id":"https://openalex.org/I52010207","display_name":"Keimyung University","ror":"https://ror.org/00tjv0s33","country_code":"KR","type":"education","lineage":["https://openalex.org/I52010207"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Young Kim","raw_affiliation_strings":["Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon 35015, Korea","Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu 42601, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon 35015, Korea","institution_ids":["https://openalex.org/I4210143602"]},{"raw_affiliation_string":"Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu 42601, Korea","institution_ids":["https://openalex.org/I52010207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650652","display_name":"Young Jae Kim","orcid":"https://orcid.org/0000-0003-0443-0051"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Jae Kim","raw_affiliation_strings":["Department of Biomedical Engineering, Gachon University College of Medicine, Incheon 21565, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Gachon University College of Medicine, Incheon 21565, Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031618845","display_name":"Jong Eun Lee","orcid":"https://orcid.org/0000-0002-8754-6801"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]},{"id":"https://openalex.org/I4210092150","display_name":"Chonnam National University Hospital","ror":"https://ror.org/00f200z37","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I111277659","https://openalex.org/I4210092150"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jong Eun Lee","raw_affiliation_strings":["Department of Radiology, Chonnam National University Hospital, 42 Jebong-ro, Dong-gu, Gwangju 61469, Korea","Lunit Inc., 27, Teheran-ro 2-gil, Gangnam-gu, Seoul 06241, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Chonnam National University Hospital, 42 Jebong-ro, Dong-gu, Gwangju 61469, Korea","institution_ids":["https://openalex.org/I111277659","https://openalex.org/I4210092150"]},{"raw_affiliation_string":"Lunit Inc., 27, Teheran-ro 2-gil, Gangnam-gu, Seoul 06241, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370226","display_name":"Eun Young Kim","orcid":"https://orcid.org/0000-0002-2101-7982"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eun Young Kim","raw_affiliation_strings":["Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Namdong-daero 774 beon-gil, Namdong-gu, Incheon 21565, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Namdong-daero 774 beon-gil, Namdong-gu, Incheon 21565, Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5031618845","https://openalex.org/A5100370226"],"corresponding_institution_ids":["https://openalex.org/I111277659","https://openalex.org/I12832649","https://openalex.org/I4210092150"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.1526,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76488955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"13","first_page":"5007","last_page":"5007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9939000010490417,"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"}},{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/medicine","display_name":"Medicine","score":0.7697765827178955},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6116334199905396},{"id":"https://openalex.org/keywords/extracorporeal-membrane-oxygenation","display_name":"Extracorporeal membrane oxygenation","score":0.60982346534729},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5199438333511353},{"id":"https://openalex.org/keywords/intensive-care-unit","display_name":"Intensive care unit","score":0.5107777118682861},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.5014867782592773},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.4821569323539734},{"id":"https://openalex.org/keywords/mechanical-ventilation","display_name":"Mechanical ventilation","score":0.4454087018966675},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.37915879487991333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3354373574256897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3275521397590637},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.23141181468963623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.12758877873420715}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7697765827178955},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6116334199905396},{"id":"https://openalex.org/C2776858399","wikidata":"https://www.wikidata.org/wiki/Q1385195","display_name":"Extracorporeal membrane oxygenation","level":2,"score":0.60982346534729},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5199438333511353},{"id":"https://openalex.org/C2776376669","wikidata":"https://www.wikidata.org/wiki/Q5094647","display_name":"Intensive care unit","level":2,"score":0.5107777118682861},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.5014867782592773},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.4821569323539734},{"id":"https://openalex.org/C2777080012","wikidata":"https://www.wikidata.org/wiki/Q3766250","display_name":"Mechanical ventilation","level":2,"score":0.4454087018966675},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.37915879487991333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3354373574256897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3275521397590637},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.23141181468963623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.12758877873420715},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","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":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","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":"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}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22135007","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22135007","pdf_url":"https://www.mdpi.com/1424-8220/22/13/5007/pdf?version=1657084547","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35808502","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35808502","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:9e3e63e247cd430f84f1134f3fb3daaa","is_oa":true,"landing_page_url":"https://doaj.org/article/9e3e63e247cd430f84f1134f3fb3daaa","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 13, p 5007 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/13/5007/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22135007","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 13; Pages: 5007","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9269794","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9269794","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22135007","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22135007","pdf_url":"https://www.mdpi.com/1424-8220/22/13/5007/pdf?version=1657084547","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G7685055460","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320321366","display_name":"Gachon University","ror":"https://ror.org/03ryywt80"},{"id":"https://openalex.org/F4320322065","display_name":"National IT Industry Promotion Agency","ror":"https://ror.org/026v53e29"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283810499.pdf","grobid_xml":"https://content.openalex.org/works/W4283810499.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W2006617902","https://openalex.org/W2007012982","https://openalex.org/W2120156715","https://openalex.org/W2165065700","https://openalex.org/W2328176404","https://openalex.org/W2602458379","https://openalex.org/W2887382745","https://openalex.org/W2899828386","https://openalex.org/W2939466230","https://openalex.org/W3011945319","https://openalex.org/W3012084069","https://openalex.org/W3013130152","https://openalex.org/W3014524604","https://openalex.org/W3014561994","https://openalex.org/W3016473145","https://openalex.org/W3018494531","https://openalex.org/W3020943809","https://openalex.org/W3021214012","https://openalex.org/W3025015013","https://openalex.org/W3027768485","https://openalex.org/W3036407163","https://openalex.org/W3043397740","https://openalex.org/W3084808919","https://openalex.org/W3085708132","https://openalex.org/W3088366593","https://openalex.org/W3088938383","https://openalex.org/W3091829098","https://openalex.org/W3107467375","https://openalex.org/W3108201242","https://openalex.org/W3108526148","https://openalex.org/W3110085597","https://openalex.org/W3111882007","https://openalex.org/W3119527628","https://openalex.org/W3128998772","https://openalex.org/W3130265027","https://openalex.org/W3134430853","https://openalex.org/W3136933888","https://openalex.org/W3138653062","https://openalex.org/W3163232091","https://openalex.org/W3165191451","https://openalex.org/W3172554877","https://openalex.org/W3185363136","https://openalex.org/W3205374395","https://openalex.org/W3215293155","https://openalex.org/W4205093509","https://openalex.org/W4206371608","https://openalex.org/W4230649743","https://openalex.org/W4255419624","https://openalex.org/W6941219230"],"related_works":["https://openalex.org/W2057359511","https://openalex.org/W2761860407","https://openalex.org/W4237099237","https://openalex.org/W14719196","https://openalex.org/W3186334452","https://openalex.org/W1989471045","https://openalex.org/W2993632815","https://openalex.org/W2067415355","https://openalex.org/W2119024497","https://openalex.org/W2883256220"],"abstract_inverted_index":{"The":[0,30,109,176,212,260],"ability":[1],"to":[2,36,59,150,166],"accurately":[3],"predict":[4,60,167],"the":[5,21,33,61,64,125,152,168,179,186,195,215,245,277,282],"prognosis":[6,62,283],"and":[7,38,51,58,63,91,106,119,133,170,194,208,223,252,284,289,296,313],"intervention":[8,171,285],"requirements":[9],"for":[10,67,185,258],"treating":[11],"highly":[12],"infectious":[13],"diseases,":[14],"such":[15],"as":[16],"COVID-19,":[17,71],"can":[18,275],"greatly":[19],"support":[20],"effective":[22,294],"management":[23],"of":[24,32,54,127,214,234,247,279,319,327],"patients,":[25,288],"especially":[26],"in":[27,100,286,293],"resource-limited":[28],"settings.":[29],"aim":[31],"study":[34],"is":[35],"develop":[37],"validate":[39],"a":[40,161,271,324],"multimodal":[41,174,272,331],"artificial":[42],"intelligence":[43],"(AI)":[44],"system":[45],"using":[46,72,173,189,218,241,304],"clinical":[47,87,190,219,256,311,320],"findings,":[48,88,191,220],"laboratory":[49,89,192,221],"data":[50,90,193,222],"AI-interpreted":[52],"features":[53],"chest":[55],"X-rays":[56],"(CXRs),":[57],"required":[65],"interventions":[66],"patients":[68],"diagnosed":[69],"with":[70,160,309,316],"multi-center":[73],"data.":[74,175],"In":[75,244],"total,":[76],"2282":[77],"real-time":[78],"reverse":[79],"transcriptase":[80],"polymerase":[81],"chain":[82],"reaction-confirmed":[83],"COVID-19":[84,287],"patients\u2019":[85],"initial":[86,153],"CXRs":[92],"were":[93,199,254],"retrospectively":[94],"collected":[95,112],"from":[96,197],"13":[97],"medical":[98],"centers":[99],"South":[101],"Korea,":[102],"between":[103],"January":[104],"2020":[105],"June":[107],"2021.":[108],"prognostic":[110,169],"outcomes":[111,123],"included":[113,124],"intensive":[114],"care":[115],"unit":[116],"(ICU)":[117],"admission":[118],"in-hospital":[120],"mortality.":[121],"Intervention":[122],"use":[126],"oxygen":[128],"(O2)":[129],"supplementation,":[130],"mechanical":[131],"ventilation":[132],"extracorporeal":[134],"membrane":[135],"oxygenation":[136],"(ECMO).":[137],"A":[138,156],"deep":[139],"learning":[140],"algorithm":[141],"detecting":[142],"10":[143],"common":[144],"CXR":[145,154],"abnormalities":[146],"(DLAD-10)":[147],"was":[148,164,226,265],"used":[149,165],"infer":[151],"taken.":[155],"random":[157],"forest":[158],"model":[159,274],"quantile":[162],"classifier":[163],"outcomes,":[172],"area":[177],"under":[178],"receiver":[180],"operating":[181],"curve":[182],"(AUROC)":[183],"values":[184],"single-modal":[187],"model,":[188,217],"outputs":[196],"DLAD-10,":[198],"0.742":[200],"(95%":[201],"confidence":[202],"interval":[203],"[CI],":[204],"0.696\u22120.788),":[205],"0.794":[206],"(0.745\u22120.843)":[207],"0.770":[209],"(0.724\u22120.815),":[210],"respectively.":[211],"AUROC":[213],"combined":[216],"DLAD-10":[224,263],"outputs,":[225,312],"significantly":[227],"higher":[228],"at":[229],"0.854":[230],"(0.820\u22120.889)":[231],"than":[232],"that":[233,270],"all":[235],"other":[236],"models":[237],"(p":[238],"<":[239],"0.001,":[240],"DeLong\u2019s":[242],"test).":[243],"order":[246],"importance,":[248],"age,":[249],"dyspnea,":[250],"consolidation":[251],"fever":[253],"significant":[255],"variables":[257],"prediction.":[259],"most":[261],"predictive":[262],"output":[264],"consolidation.":[266],"We":[267],"have":[268],"shown":[269],"AI":[273,307],"improve":[276],"performance":[278],"predicting":[280],"both":[281],"this":[290],"could":[291,322],"assist":[292],"treatment":[295],"subsequent":[297],"resource":[298],"management.":[299],"Further,":[300],"image":[301],"feature":[302],"extraction":[303],"an":[305,329],"established":[306],"engine":[308],"well-defined":[310],"combining":[314],"them":[315],"different":[317],"modes":[318],"data,":[321],"be":[323],"useful":[325],"way":[326],"creating":[328],"understandable":[330],"prediction":[332],"model.":[333]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
