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dc.contributor.authorZhang, Yili, M.S.
dc.date.accessioned2018-06-25T18:08:23Z
dc.date.available2018-06-25T18:08:23Z
dc.date.issued2017-07-13
dc.identifier.urihttp://hdl.handle.net/10713/8019
dc.descriptionAbstract of a poster presentation delivered at the University of Maryland School of Nursing, Summer Institute in Nursing Informatics (SINI) 2017: Clinical Practice, Health and the Internet of Things.en_US
dc.language.isoen_USen_US
dc.subjectdata analysisen_US
dc.subjectdata defecten_US
dc.subjectMedicaid Management Information Systems (MMIS)en_US
dc.subjecthealth information technologyen_US
dc.subject.lcshUniversity of Maryland, Baltimore. School of Nursingen_US
dc.subject.lcshNursing informaticsen_US
dc.subject.meshMedical Informaticsen_US
dc.titleToward High-Quality Big Data to Support Population Health: Identifying the Data Quality Problems with Medicaid Datasetsen_US
dc.typeAbstracten_US
dc.typeConference/Congressen_US
dc.typePoster/Presentationen_US
dc.identifier.ispublishedNoen_US
dc.description.urinameFull Texten_US
refterms.dateFOA2019-02-19T18:36:26Z


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