The Use of Classification Trees to Determine Criteria Leading to a Total Joint Replacement Recommendation for Patients with Knee or Hip Osteoarthritis

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dc.contributor.advisorPark, DoHwan
dc.contributor.advisorHochberg, Marc C
dc.contributor.authorShurupoff, Kimberly Eileen
dc.contributor.departmentMathematics and Statistics
dc.contributor.programStatistics
dc.date.accessioned2015-10-14T03:12:46Z
dc.date.available2015-10-14T03:12:46Z
dc.date.issued2011-01-01
dc.description.abstractThere is a need for a nonacceptable symptom state to indicate when a patient with knee or hip osteoarthritis exhibits symptoms severe enough to warrant total joint replacement (TJR). A previous study using logistic regression and ROC curve analysis was unable to determine pain and functional disability cut points leading to a TJR recommendation. Using the datasets from the previous study, classification trees were used to identify predictors and cut points of those predictors leading to a TJR recommendation. From the analysis, a patient's quality of life and joint space narrowing appeared to be the most important predictors, out of those included in the analysis, of a surgeon's recommendation for TJR. Further research and analysis is needed to determine if the generated classification trees accurately predict a surgeon's recommendation for TJR.
dc.formatapplication/pdf
dc.genretheses
dc.identifierdoi:10.13016/M2T09H
dc.identifier.other10420
dc.identifier.urihttp://hdl.handle.net/11603/1029
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Mathematics and Statistics Department Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu.
dc.sourceOriginal File Name: Shurupoff_umbc_0434M_10420.pdf
dc.subjectclassification trees
dc.subjectjoint space narrowing
dc.subjectOARSI-OMERACT Initiative
dc.subjectosteoarthritis
dc.subjectquality of life
dc.subjecttotal joint replacement
dc.titleThe Use of Classification Trees to Determine Criteria Leading to a Total Joint Replacement Recommendation for Patients with Knee or Hip Osteoarthritis
dc.typeText
dcterms.accessRightsAccess limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission.

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