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dc.contributor.advisorBarker Steege, Linsey M.eng
dc.contributor.advisorOcceña, Luis G.eng
dc.contributor.authorParhizi, Shaghayegheng
dc.date.issued2014eng
dc.date.submitted2014 Springeng
dc.identifier.urihttps://hdl.handle.net/10355/45896
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.rightsOpenAccesseng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.sourceSubmitted by the University of Missouri--Columbia Graduate Schooleng
dc.subject.FASTFatigue -- Nursingeng
dc.subject.FASTPatient safetyeng
dc.subject.FASTMedical errors -- Preventioneng
dc.subject.FASTNursingeng
dc.titleMeasuring nurses' response to configurations of work system parameters a data mining approacheng
dc.typeThesiseng
thesis.degree.disciplineIndustrial engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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