Ordinal Regression over Time Series Data, with an Application to Classifying Patient Vital Sign Quality

dc.contributor.advisorJermaine, Christopher M.en_US
dc.contributor.committeeMemberKavraki, Lydia E.en_US
dc.contributor.committeeMemberNakhleh, Luay K.en_US
dc.creatorMyers, Risa Ben_US
dc.date.accessioned2014-09-23T20:59:00Zen_US
dc.date.available2014-09-23T20:59:00Zen_US
dc.date.created2013-12en_US
dc.date.issued2013-06-05en_US
dc.date.submittedDecember 2013en_US
dc.date.updated2014-09-23T20:59:01Zen_US
dc.description.abstractThis research is concerned with modeling the vital sign data that are present in many electronic health records. Such vital sign data are typically represented as a (possibly multidimensional) time series. My goal is to label these time series with one oen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationMyers, Risa B. "Ordinal Regression over Time Series Data, with an Application to Classifying Patient Vital Sign Quality." (2013) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/77232">https://hdl.handle.net/1911/77232</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/77232en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectTime seriesen_US
dc.subjectMachine learningen_US
dc.subjectVital signen_US
dc.subjectBiomedical dataen_US
dc.subjectBayesian statisticsen_US
dc.titleOrdinal Regression over Time Series Data, with an Application to Classifying Patient Vital Sign Qualityen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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