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Article: A new risk stratification score for patients with suspected cardiac chest pain in emergency departments, based on machine learning

TitleA new risk stratification score for patients with suspected cardiac chest pain in emergency departments, based on machine learning
Authors
Mao, Hai FengChen, Xiao HuiLi, Yun MeiZhang, Si YuanMo, Jun RongLi, MinLin, Pei YiRainer, Timothy H.Graham, Colin A.Jiang, Hui Lin
Issue Date2020
Citation
Chinese Medical Journal, 2020, v. 133, n. 7, p. 879-880 How to Cite?
DOI: http://dx.doi.org/10.1097/CM9.0000000000000725
Persistent Identifierhttp://hdl.handle.net/10722/292152
ISSN
0366-6999
2021 Impact Factor: 6.133
2020 SCImago Journal Rankings: 0.537
PubMed Central ID
PMC7147655
ISI Accession Number ID
WOS:000524560900021

 

DC FieldValueLanguage
dc.contributor.authorMao, Hai Feng-
dc.contributor.authorChen, Xiao Hui-
dc.contributor.authorLi, Yun Mei-
dc.contributor.authorZhang, Si Yuan-
dc.contributor.authorMo, Jun Rong-
dc.contributor.authorLi, Min-
dc.contributor.authorLin, Pei Yi-
dc.contributor.authorRainer, Timothy H.-
dc.contributor.authorGraham, Colin A.-
dc.contributor.authorJiang, Hui Lin-
dc.date.accessioned2020-11-17T14:55:52Z-
dc.date.available2020-11-17T14:55:52Z-
dc.date.issued2020-
dc.identifier.citationChinese Medical Journal, 2020, v. 133, n. 7, p. 879-880-
dc.identifier.issn0366-6999-
dc.identifier.urihttp://hdl.handle.net/10722/292152-
dc.languageeng-
dc.relation.ispartofChinese Medical Journal-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleA new risk stratification score for patients with suspected cardiac chest pain in emergency departments, based on machine learning-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1097/CM9.0000000000000725-
dc.identifier.pmid32097209-
dc.identifier.pmcidPMC7147655-
dc.identifier.scopuseid_2-s2.0-85083003077-
dc.identifier.volume133-
dc.identifier.issue7-
dc.identifier.spage879-
dc.identifier.epage880-
dc.identifier.eissn2542-5641-
dc.identifier.isiWOS:000524560900021-
dc.identifier.issnl0366-6999-

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