Functional and Effective Connectivity Based Classification and Prediction of Alzheimer’s Disease.

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dc.contributor.advisorChang Nam, Chair
dc.contributor.advisorLuo Xiao, Minor
dc.contributor.advisorDavid Lalush, Member
dc.contributor.advisorXiaolei Fang, Member
dc.contributor.advisorDouglas Gillan, Graduate School Representative
dc.contributor.authorHuang, Jiali
dc.date.accepted2023-02-24
dc.date.accessioned2023-03-04T13:30:15Z
dc.date.available2023-03-04T13:30:15Z
dc.date.defense2022-12-19
dc.date.issued2022-12-19
dc.date.released2023-03-04
dc.date.reviewed2023-01-12
dc.date.submitted2022-12-23
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.otherdeg31989
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40705
dc.titleFunctional and Effective Connectivity Based Classification and Prediction of Alzheimer’s Disease.
dcterms.extent1 online resource (xiv, 97 pages) : illustrations

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