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dc.contributor.advisorDhou, Salam
dc.contributor.authorDehkordi, Zahrasadat Solati
dc.date.accessioned2023-08-29T06:07:13Z
dc.date.available2023-08-29T06:07:13Z
dc.date.issued2023-04
dc.identifier.other35.232-2023.05
dc.identifier.urihttp://hdl.handle.net/11073/25306
dc.descriptionA Master of Science thesis in Computer Engineering by Zahrasadat Solati Dehkordi entitled, “Detecting Diabetic Neuropathy from Electronic Health Records Using Machine Learning”, submitted in April 2023. Thesis advisor is Dr. Salam Dhou. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipDepartment of Computer Science and Engineeringen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesMaster of Science in Computer Engineering (MSCoE)en_US
dc.subjectMachine learningen_US
dc.subjectElectronic health recordsen_US
dc.subjectDiabetic neuropathyen_US
dc.titleDetecting Diabetic Neuropathy From Electronic Health Records Using Machine Learningen_US
dc.typeThesisen_US


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