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Please use this identifier to cite or link to this item: https://doi.org/10.1186/s12874-016-0142-2
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dc.titleUtilizing distributional analytics and electronic records to assess timeliness of inpatient blood glucose monitoring in non-critical care wards
dc.contributor.authorChen Y.
dc.contributor.authorKao S.L.
dc.contributor.authorTai E.-S.
dc.contributor.authorWee H.L.
dc.contributor.authorKhoo E.Y.H.
dc.contributor.authorNING YILIN
dc.contributor.authorSalloway M.K.
dc.contributor.authorDeng X.
dc.contributor.authorTan C.S.
dc.date.accessioned2018-07-02T02:36:40Z
dc.date.available2018-07-02T02:36:40Z
dc.date.issued2016
dc.identifier.citationChen Y., Kao S.L., Tai E.-S., Wee H.L., Khoo E.Y.H., NING YILIN, Salloway M.K., Deng X., Tan C.S. (2016). Utilizing distributional analytics and electronic records to assess timeliness of inpatient blood glucose monitoring in non-critical care wards. BMC Medical Research Methodology 16 (1) : 142. ScholarBank@NUS Repository. https://doi.org/10.1186/s12874-016-0142-2
dc.identifier.issn14712288
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/144331
dc.publisherBioMed Central Ltd.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentMEDICINE
dc.contributor.departmentPHARMACY
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.description.doi10.1186/s12874-016-0142-2
dc.description.sourcetitleBMC Medical Research Methodology
dc.description.volume16
dc.description.issue1
dc.description.page142
dc.identifier.isiut000373758500001
dc.published.stateUnpublished
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