Explainable boosting machine approach to identifying risk factors for Parkinson’s disease

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dc.contributor.authorÇolak, Cemil
dc.contributor.authorArslan, Ahmet Kadir
dc.date.accessioned2026-04-04T13:14:38Z
dc.date.available2026-04-04T13:14:38Z
dc.date.issued2024
dc.departmentİnönü Üniversitesi
dc.description.abstractAim: Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-motor symptoms. The diagnosis and management of PD have been significantly impacted by recent advancements in epidemiology, genetics, biomarkers, and therapeutic approaches. This study aimed to identify potential risk factors for PD and assess their contribution to PD risk using the Explainable Boosting Machines (EBM) model, a machine learning approach. Materials and Methods: The dataset utilized in this research, accessible to researchers, comprised 2105 individuals and included 32 clinical and laboratory predictors across various categories, along with a response feature indicating PD diagnosis (yes/no). Statistical analyses, such as the Mann-Whitney U and Pearson chi-square tests, were conducted to determine significant differences between PD diagnosis groups. Results: The study identified several predictors as significantly different between the groups, including age, sleep quality, diabetes, depression, tremor, rigidity, bradykinesia, postural instability, and scores from assessment scales like UPDRS, MoCA, and Functional assessment. The EBM model effectively classified PD cases, demonstrating high accuracy, sensitivity, specificity, AUROC, and positive-negative predictive values. The \"UPDRS\" score emerged as the most influential predictor in the model, with higher scores indicating an increased risk of PD. Conclusion: Future research, with more samples and predictors, can delve deeper into the interaction of these predictors and explore the potential for developing targeted interventions for PD prevention and management.
dc.identifier.doi10.5455/annalsmedres.2024.07.155
dc.identifier.endpage740
dc.identifier.issn2636-7688
dc.identifier.issue9
dc.identifier.startpage735
dc.identifier.trdizinid1266042
dc.identifier.urihttps://doi.org/10.5455/annalsmedres.2024.07.155
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1266042
dc.identifier.urihttps://hdl.handle.net/11616/107366
dc.identifier.volume31
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofAnnals of Medical Research
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR_20250329
dc.subjectGenel ve Dahili Tıp
dc.subjectNörolojik Bilimler
dc.subjectPsikiyatri
dc.titleExplainable boosting machine approach to identifying risk factors for Parkinson’s disease
dc.typeArticle

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