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Article: Predicting Emergency Department Utilization among Older Hong Kong Population in Hot Season: A Machine Learning Approach

TitlePredicting Emergency Department Utilization among Older Hong Kong Population in Hot Season: A Machine Learning Approach
Authors
ZHOU, HLuo, HLau, KKLQIAN, XRen, CChau, PH
Issue Date2022
Citation
Information, 2022, v. 13, p. 410 How to Cite?
DOI: http://dx.doi.org/10.3390/info13090410
Persistent Identifierhttp://hdl.handle.net/10722/319146
ISI Accession Number ID
WOS:000856391800001

 

DC FieldValueLanguage
dc.contributor.authorZHOU, H-
dc.contributor.authorLuo, H-
dc.contributor.authorLau, KKL-
dc.contributor.authorQIAN, X-
dc.contributor.authorRen, C-
dc.contributor.authorChau, PH-
dc.date.accessioned2022-10-14T05:07:58Z-
dc.date.available2022-10-14T05:07:58Z-
dc.date.issued2022-
dc.identifier.citationInformation, 2022, v. 13, p. 410-
dc.identifier.urihttp://hdl.handle.net/10722/319146-
dc.languageeng-
dc.relation.ispartofInformation-
dc.titlePredicting Emergency Department Utilization among Older Hong Kong Population in Hot Season: A Machine Learning Approach-
dc.typeArticle-
dc.identifier.emailLuo, H: haoluo@hku.hk-
dc.identifier.emailRen, C: renchao@hku.hk-
dc.identifier.emailChau, PH: phpchau@hku.hk-
dc.identifier.authorityLuo, H=rp02317-
dc.identifier.authorityRen, C=rp02447-
dc.identifier.authorityChau, PH=rp00574-
dc.identifier.doi10.3390/info13090410-
dc.identifier.hkuros339239-
dc.identifier.volume13-
dc.identifier.spage410-
dc.identifier.epage410-
dc.identifier.isiWOS:000856391800001-

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