Ordinal Regression over Time Series Data, with an Application to Classifying Patient Vital Sign Quality
dc.contributor.advisor | Jermaine, Christopher M. | en_US |
dc.contributor.committeeMember | Kavraki, Lydia E. | en_US |
dc.contributor.committeeMember | Nakhleh, Luay K. | en_US |
dc.creator | Myers, Risa B | en_US |
dc.date.accessioned | 2014-09-23T20:59:00Z | en_US |
dc.date.available | 2014-09-23T20:59:00Z | en_US |
dc.date.created | 2013-12 | en_US |
dc.date.issued | 2013-06-05 | en_US |
dc.date.submitted | December 2013 | en_US |
dc.date.updated | 2014-09-23T20:59:01Z | en_US |
dc.description.abstract | This 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 o | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Myers, 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.uri | https://hdl.handle.net/1911/77232 | en_US |
dc.language.iso | eng | en_US |
dc.rights | Copyright 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.subject | Time series | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Vital sign | en_US |
dc.subject | Biomedical data | en_US |
dc.subject | Bayesian statistics | en_US |
dc.title | Ordinal Regression over Time Series Data, with an Application to Classifying Patient Vital Sign Quality | en_US |
dc.type | Thesis | en_US |
dc.type.material | Text | en_US |
thesis.degree.department | Computer Science | en_US |
thesis.degree.discipline | Engineering | en_US |
thesis.degree.grantor | Rice University | en_US |
thesis.degree.level | Masters | en_US |
thesis.degree.name | Master of Science | en_US |