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Article: Editorial: machine learning models for gastric cancer risk prediction—authors' reply

TitleEditorial: machine learning models for gastric cancer risk prediction—authors' reply
Authors
Issue Date2021
Citation
Alimentary Pharmacology and Therapeutics, 2021, v. 53, n. 8, p. 945 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/352230
ISSN
2023 Impact Factor: 6.6
2023 SCImago Journal Rankings: 2.794

 

DC FieldValueLanguage
dc.contributor.authorLeung, Wai K.-
dc.contributor.authorLui, Thomas K.L.-
dc.date.accessioned2024-12-16T03:57:27Z-
dc.date.available2024-12-16T03:57:27Z-
dc.date.issued2021-
dc.identifier.citationAlimentary Pharmacology and Therapeutics, 2021, v. 53, n. 8, p. 945-
dc.identifier.issn0269-2813-
dc.identifier.urihttp://hdl.handle.net/10722/352230-
dc.languageeng-
dc.relation.ispartofAlimentary Pharmacology and Therapeutics-
dc.titleEditorial: machine learning models for gastric cancer risk prediction—authors' reply-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/apt.16319-
dc.identifier.pmid33745178-
dc.identifier.scopuseid_2-s2.0-85102771851-
dc.identifier.volume53-
dc.identifier.issue8-
dc.identifier.spage945-
dc.identifier.epage-
dc.identifier.eissn1365-2036-

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