Machine Learning and Feature Engineering Methods for Interpretable Decision Tools in Healthcare and Anti Human Trafficking Applications.

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dc.contributor.advisorOsman Ozaltin, Chair
dc.contributor.advisorMaria Mayorga, Member
dc.contributor.advisorJulie Ivy, Member
dc.contributor.advisorMin Chi, Member
dc.contributor.advisorMin Chi, Graduate School Representative
dc.contributor.authorLi, Ruoting
dc.date.accepted2023-10-30
dc.date.accessioned2023-11-15T13:30:32Z
dc.date.available2023-11-15T13:30:32Z
dc.date.defense2023-09-15
dc.date.issued2023-09-15
dc.date.released2023-11-15
dc.date.reviewed2023-09-25
dc.date.submitted2023-09-21
dc.degree.disciplineIndustrial Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Industrial Engineering.
dc.formatPh.D. North Carolina State University, 2023.
dc.identifier.otherdeg35306
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/41384
dc.titleMachine Learning and Feature Engineering Methods for Interpretable Decision Tools in Healthcare and Anti Human Trafficking Applications.
dcterms.extent1 online resource (xii, 118 pages) : illustrations

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