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Article: Machine learning algorithms identify demographics, dietary features, and blood biomarkers associated with stroke records

TitleMachine learning algorithms identify demographics, dietary features, and blood biomarkers associated with stroke records
Authors
Issue Date2022
Citation
Journal of the Neurological Sciences, 2022, v. 440, p. 120335 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/319659
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, J-
dc.contributor.authorChou, EL-
dc.contributor.authorLau, GKK-
dc.contributor.authorWoo, PYM-
dc.contributor.authorLi, J-
dc.contributor.authorChan, KHK-
dc.date.accessioned2022-10-14T05:17:22Z-
dc.date.available2022-10-14T05:17:22Z-
dc.date.issued2022-
dc.identifier.citationJournal of the Neurological Sciences, 2022, v. 440, p. 120335-
dc.identifier.urihttp://hdl.handle.net/10722/319659-
dc.languageeng-
dc.relation.ispartofJournal of the Neurological Sciences-
dc.titleMachine learning algorithms identify demographics, dietary features, and blood biomarkers associated with stroke records-
dc.typeArticle-
dc.identifier.emailLau, GKK: gkklau@hku.hk-
dc.identifier.authorityLau, GKK=rp01499-
dc.identifier.doi10.1016/j.jns.2022.120335-
dc.identifier.hkuros338943-
dc.identifier.volume440-
dc.identifier.spage120335-
dc.identifier.epage120335-
dc.identifier.isiWOS:000853858700003-

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