{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T05:20:59Z","timestamp":1733289659411,"version":"3.30.1"},"reference-count":18,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,4,6]],"date-time":"2023-04-06T00:00:00Z","timestamp":1680739200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.fr","ejradiology.com","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Radiology"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1016\/j.ejrad.2023.110827","type":"journal-article","created":{"date-parts":[[2023,4,7]],"date-time":"2023-04-07T15:11:12Z","timestamp":1680880272000},"page":"110827","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"special_numbering":"C","title":["Added value of chest CT in a machine learning-based prediction model to rule out COVID-19 before inpatient admission: A retrospective university network study"],"prefix":"10.1016","volume":"163","author":[{"given":"Martin","family":"Kr\u00e4mer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maja","family":"Ingwersen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ulf","family":"Teichgr\u00e4ber","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4414-2188","authenticated-orcid":false,"given":"Felix","family":"G\u00fcttler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.ejrad.2023.110827_b0005","article-title":"When to rule out COVID-19: How many negative RT-PCR tests are needed?","volume":"31","author":"Isikbay","year":"2020","journal-title":"Respir. Med. Case Rep."},{"issue":"3","key":"10.1016\/j.ejrad.2023.110827_b0010","doi-asserted-by":"crossref","first-page":"470","DOI":"10.5811\/westjem.2020.4.47370","article-title":"The appropriate use of testing for COVID-19","volume":"21","author":"Zitek","year":"2020","journal-title":"West. J. Emerg. Med."},{"key":"10.1016\/j.ejrad.2023.110827_b0015","doi-asserted-by":"crossref","DOI":"10.3389\/fpubh.2022.869238","article-title":"A survey on machine learning and internet of medical things-based approaches for handling COVID-19: meta-analysis","volume":"10","author":"Band","year":"2022","journal-title":"Front. Public Health"},{"issue":"1","key":"10.1016\/j.ejrad.2023.110827_b0020","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1186\/s13017-021-00393-w","article-title":"A pandemic recap: lessons we have learned","volume":"16","author":"Coccolini","year":"2021","journal-title":"World J. Emerg. Surg."},{"key":"10.1016\/j.ejrad.2023.110827_b0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2022.102286","article-title":"Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: a focused review","volume":"128","author":"Comito","year":"2022","journal-title":"Artif. Intell. Med."},{"issue":"8","key":"10.1016\/j.ejrad.2023.110827_b0030","article-title":"A comprehensive review of machine learning used to combat COVID-19","volume":"12","author":"Gomes","year":"2022","journal-title":"Diagnostics (Basel)"},{"issue":"6","key":"10.1016\/j.ejrad.2023.110827_b0035","doi-asserted-by":"crossref","first-page":"1581","DOI":"10.7150\/ijbs.58855","article-title":"Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives","volume":"17","author":"Huang","year":"2021","journal-title":"Int. J. Biol. Sci."},{"key":"10.1016\/j.ejrad.2023.110827_b0040","first-page":"2825","article-title":"Scikit-learn: machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"10.1016\/j.ejrad.2023.110827_b0045","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1023\/A:1012487302797","article-title":"Gene selection for cancer classification using support vector machines","volume":"46","author":"Guyon","year":"2002","journal-title":"Mach. Learn."},{"year":"2006","series-title":"Numerical Optimization","author":"Nocedal","key":"10.1016\/j.ejrad.2023.110827_b0050"},{"issue":"7","key":"10.1016\/j.ejrad.2023.110827_b0055","article-title":"Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection","volume":"7","author":"Dinnes","year":"2022","journal-title":"Cochrane Database Syst. Rev."},{"issue":"5","key":"10.1016\/j.ejrad.2023.110827_b0060","article-title":"Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19","volume":"5","author":"Struyf","year":"2022","journal-title":"Cochrane Database Syst. Rev."},{"issue":"1","key":"10.1016\/j.ejrad.2023.110827_b0065","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1186\/s12931-020-01611-w","article-title":"Ruling out COVID-19 by chest CT at emergency admission when prevalence is low: the prospective, observational SCOUT study","volume":"22","author":"Teichgr\u00e4ber","year":"2021","journal-title":"Respir. Res."},{"issue":"5","key":"10.1016\/j.ejrad.2023.110827_b0070","article-title":"Thoracic imaging tests for the diagnosis of COVID-19","volume":"5","author":"Ebrahimzadeh","year":"2022","journal-title":"Cochrane Database Syst. Rev."},{"issue":"2","key":"10.1016\/j.ejrad.2023.110827_b0075","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1007\/s00330-020-07154-4","article-title":"Chest CT for rapid triage of patients in multiple emergency departments during COVID-19 epidemic: experience report from a large French university hospital","volume":"31","author":"Ducray","year":"2021","journal-title":"Eur. Radiol."},{"issue":"4","key":"10.1016\/j.ejrad.2023.110827_b0080","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/S1473-3099(20)30086-4","article-title":"Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study","volume":"20","author":"Shi","year":"2020","journal-title":"Lancet Infect. Dis."},{"issue":"9","key":"10.1016\/j.ejrad.2023.110827_b0085","doi-asserted-by":"crossref","first-page":"5211","DOI":"10.1007\/s00330-020-06914-6","article-title":"Incidentally discovered COVID-19 pneumonia: the role of diagnostic imaging","volume":"30","author":"Pozzessere","year":"2020","journal-title":"Eur. Radiol."},{"key":"10.1016\/j.ejrad.2023.110827_b0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejro.2022.100438","article-title":"Artificial intelligence model on chest imaging to diagnose COVID-19 and other pneumonias: a systematic review and meta-analysis","volume":"9","author":"Jia","year":"2022","journal-title":"Eur J Radiol Open"}],"container-title":["European Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X23001419?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X23001419?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T10:12:27Z","timestamp":1733220747000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0720048X23001419"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":18,"alternative-id":["S0720048X23001419"],"URL":"https:\/\/doi.org\/10.1016\/j.ejrad.2023.110827","relation":{},"ISSN":["0720-048X"],"issn-type":[{"type":"print","value":"0720-048X"}],"subject":[],"published":{"date-parts":[[2023,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Added value of chest CT in a machine learning-based prediction model to rule out COVID-19 before inpatient admission: A retrospective university network study","name":"articletitle","label":"Article Title"},{"value":"European Journal of Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejrad.2023.110827","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"110827"}}