Detecting Diabetic Neuropathy From Electronic Health Records Using Machine Learning

A 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, Approva...

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Main Author: Dehkordi, Zahrasadat Solati (author)
Format: doctoralThesis
Published: 2023
Subjects:
Online Access:http://hdl.handle.net/11073/25306
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author Dehkordi, Zahrasadat Solati
author_facet Dehkordi, Zahrasadat Solati
author_role author
dc.contributor.none.fl_str_mv Dhou, Salam
dc.creator.none.fl_str_mv Dehkordi, Zahrasadat Solati
dc.date.none.fl_str_mv 2023-08-29T06:07:13Z
2023-08-29T06:07:13Z
2023-04
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2023.05
http://hdl.handle.net/11073/25306
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Machine learning
Electronic health records
Diabetic neuropathy
dc.title.none.fl_str_mv Detecting Diabetic Neuropathy From Electronic Health Records Using Machine Learning
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A 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).
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identifier_str_mv 35.232-2023.05
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/25306
publishDate 2023
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Detecting Diabetic Neuropathy From Electronic Health Records Using Machine LearningDehkordi, Zahrasadat SolatiMachine learningElectronic health recordsDiabetic neuropathyA 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).College of EngineeringDepartment of Computer Science and EngineeringMaster of Science in Computer Engineering (MSCoE)Dhou, Salam2023-08-29T06:07:13Z2023-08-29T06:07:13Z2023-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2023.05http://hdl.handle.net/11073/25306en_USoai:repository.aus.edu:11073/253062025-06-26T12:24:03Z
spellingShingle Detecting Diabetic Neuropathy From Electronic Health Records Using Machine Learning
Dehkordi, Zahrasadat Solati
Machine learning
Electronic health records
Diabetic neuropathy
status_str publishedVersion
title Detecting Diabetic Neuropathy From Electronic Health Records Using Machine Learning
title_full Detecting Diabetic Neuropathy From Electronic Health Records Using Machine Learning
title_fullStr Detecting Diabetic Neuropathy From Electronic Health Records Using Machine Learning
title_full_unstemmed Detecting Diabetic Neuropathy From Electronic Health Records Using Machine Learning
title_short Detecting Diabetic Neuropathy From Electronic Health Records Using Machine Learning
title_sort Detecting Diabetic Neuropathy From Electronic Health Records Using Machine Learning
topic Machine learning
Electronic health records
Diabetic neuropathy
url http://hdl.handle.net/11073/25306