A Machine Learning Framework to Identify the Causes of HbA1c in Patients With Type 2 Diabetes Mellitus

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dc.contributor.authorTaghiyev, Anar
dc.contributor.authorAltun, Adem Alpaslan
dc.contributor.authorAllahverdi, Novruz
dc.contributor.authorÇağlar, Sona
dc.date.accessioned2020-03-26T20:12:19Z
dc.date.available2020-03-26T20:12:19Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, the effects of blood glucose levels on hemoglobin A1c (HbA1c) were investigated. For this reason, a classification model was developed by carrying out a logistic regression analysis based on machine learning and data mining methods. The purpose of using logistic regression analysis in this study was to establish a method of creating a statistical model that is most suitable and reasonable for determining the relationship between dependent and independent variables. This model shows how effective the factors that cause an increase in the HbA1c level. It can be planned to verify this method on more Electronic Heath Records databases to address the learning method of information in the local health sector with the help of data mining and machine learning methods and different clinical problems for future work.en_US
dc.description.sponsorshipSelcuk University Scientific Research Projects Coordination Office (BAP)Selcuk University [18201154]; KTO Karatay University; Aksaray Health Departmenten_US
dc.description.sponsorshipA. Taghiyev and A. A. Altun thank the the Selcuk University Scientific Research Projects Coordination Office (BAP) for its support (Project No: 18201154). N. Allahverdi thanks the KTO Karatay University for its support. S. Caglar thanks the Aksaray Health Department for its support.en_US
dc.identifier.endpage42en_US
dc.identifier.issn1454-8658en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage34en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37415
dc.identifier.volume21en_US
dc.identifier.wosWOS:000489234700004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherROMANIAN SOC CONTROL TECH INFORMATICSen_US
dc.relation.ispartofCONTROL ENGINEERING AND APPLIED INFORMATICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectbig dataen_US
dc.subjectdata miningen_US
dc.subjectmachine learningen_US
dc.subjectclassificationen_US
dc.subjectregression analysisen_US
dc.subjectdiabetes mellitusen_US
dc.titleA Machine Learning Framework to Identify the Causes of HbA1c in Patients With Type 2 Diabetes Mellitusen_US
dc.typeArticleen_US

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