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dc.contributor.advisorMenezes, Ronaldo
dc.contributor.authorPinheiro Ferreira Silva, Diego Marconi
dc.date.accessioned2018-08-16T13:40:28Z
dc.date.available2018-08-16T13:40:28Z
dc.date.created2018-07
dc.date.issued2018-07
dc.date.submittedJuly 2018
dc.identifier.urihttp://hdl.handle.net/11141/2548
dc.descriptionThesis (Ph.D.) - Florida Institute of Technology, 2018en_US
dc.description.abstractOrgan transplantation yearly saves thousands of lives worldwide; yet, 22 people still die each day only in the USA due to the ever-increasing imbalance between the supply and demand of organs. Currently, this organ-allocation gap is mainly tackled by optimally allocating organs based on major survivability factors (i.e., efficiency), by providing the population equal access to transplantation (i.e., equity), and by promoting population health literacy (i.e., awareness). Efficiency, equity, and awareness impact each other; yet, the state-of-the-art in organ transplantation still lacks the characterization of awareness, and the trade-off between these aspects are not fully-understood. Given the current availability of data and computational power, this dissertation proposes a comprehensive data-driven characterization of organ transplantation that accounts for efficiency, equity, and awareness by (i) integrating available data sets; (ii) proposing a sensor for population awareness using social media; and (iii) proposing a novel nonparametric probabilistic data-intensive framework. The dissertation demonstrates that the proposed characterization can uncover patterns of efficiency, equity, and awareness, and has the potential to characterize organ transplantation in a unified manner.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleA Comprehensive Data-Driven Characterization of Organ Transplantationen_US
dc.typeDissertationen_US
dc.date.updated2018-07-30T15:17:30Z
thesis.degree.nameDoctorate of Philosophy in Computer Scienceen_US
thesis.degree.levelDoctoralen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.departmentComputingen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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