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dc.contributor.advisorPrabhu, Raj Kumar
dc.contributor.authorCrawford, Folly Martha Dzan
dc.date2018
dc.date.accessioned2020-09-15T16:36:41Z
dc.date.available2020-09-15T16:36:41Z
dc.identifier.urihttps://hdl.handle.net/11668/20039
dc.description.abstractTraumatic brain injury is highly prevalent in the United States yet there is little understanding of how the brain responds during injurious loading. A confounding problem is that because testing conditions vary between assessment methods, brain biomechanics cannot be fully understood. Data mining techniques were applied to discover how changes in testing conditions affect the mechanical response of the brain. Data were gathered from literature sources and self-organizing maps were used to conduct a sensitivity analysis to rank considered parameters by importance. Fuzzy C-means clustering was applied to find any data patterns. The rankings and clustering for each data set varied, indicating that the strain rate and type of deformation influence the role of these parameters. Multivariate linear regression was applied to develop a model which can predict the mechanical response from different experimental conditions. Prediction of response depended primarily on strain rate, frequency, brain matter composition, and anatomical region.
dc.publisherMississippi State University
dc.subject.othermultivariate linear regression
dc.subject.otherneighborhood component analysis
dc.subject.otherprincipal component analysis
dc.subject.otherfuzzy c-means clustering
dc.subject.otherself-organizing maps
dc.subject.othertraumatic brain injury
dc.subject.otherdata mining
dc.titleData Mining the Effects of Storage Conditions, Testing Conditions, and Specimen Properties on Brain Biomechanics
dc.typeThesis
dc.publisher.departmentDepartment of Agricultural and Biological Engineering
dc.publisher.collegeBagley College of Engineering
dc.date.authorbirth1994
dc.subject.degreeMaster of Science
dc.subject.majorBiomedical Engineering
dc.contributor.committeeAbuomar, Osama
dc.contributor.committeePriddy, Lauren B.
dc.contributor.committeeTansey, Keith E.


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