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Article: An Unsupervised Machine Learning Clustering and Prediction of Differential Clinical Phenotypes of COVID-19 Patients based on Blood Tests – A Hong Kong Population Study

TitleAn Unsupervised Machine Learning Clustering and Prediction of Differential Clinical Phenotypes of COVID-19 Patients based on Blood Tests – A Hong Kong Population Study
Authors
LAU, KYYNG, KSKwok, KWTsia, KKMSin, CFLam, CWVardhanabhuti, V
Issue Date2022
Citation
Frontiers in Medicine, 2022, p. 3073 How to Cite?
DOI: http://dx.doi.org/10.3389/fmed.2021.764934
Persistent Identifierhttp://hdl.handle.net/10722/312213
ISI Accession Number ID
WOS:000768021200001

 

DC FieldValueLanguage
dc.contributor.authorLAU, KYY-
dc.contributor.authorNG, KS-
dc.contributor.authorKwok, KW-
dc.contributor.authorTsia, KKM-
dc.contributor.authorSin, CF-
dc.contributor.authorLam, CW-
dc.contributor.authorVardhanabhuti, V-
dc.date.accessioned2022-04-25T01:36:42Z-
dc.date.available2022-04-25T01:36:42Z-
dc.date.issued2022-
dc.identifier.citationFrontiers in Medicine, 2022, p. 3073-
dc.identifier.urihttp://hdl.handle.net/10722/312213-
dc.languageeng-
dc.relation.ispartofFrontiers in Medicine-
dc.titleAn Unsupervised Machine Learning Clustering and Prediction of Differential Clinical Phenotypes of COVID-19 Patients based on Blood Tests – A Hong Kong Population Study-
dc.typeArticle-
dc.identifier.emailKwok, KW: kwokkw@hku.hk-
dc.identifier.emailTsia, KKM: tsia@hku.hk-
dc.identifier.emailSin, CF: scf185@hku.hk-
dc.identifier.emailLam, CW: ching-wanlam@pathology.hku.hk-
dc.identifier.emailVardhanabhuti, V: varv@hku.hk-
dc.identifier.authorityKwok, KW=rp01924-
dc.identifier.authorityTsia, KKM=rp01389-
dc.identifier.authoritySin, CF=rp02290-
dc.identifier.authorityLam, CW=rp00260-
dc.identifier.authorityVardhanabhuti, V=rp01900-
dc.identifier.doi10.3389/fmed.2021.764934-
dc.identifier.hkuros332607-
dc.identifier.spage3073-
dc.identifier.epage3073-
dc.identifier.isiWOS:000768021200001-

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