Prediction of brucellosis based on hematological biomarkers via ensemble classification methods

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dc.contributor.authorŞahin, Ahmet
dc.contributor.authorÇelik, Mehmet
dc.contributor.authorCeylan, Mehmet Reşat
dc.contributor.authorAltındağ, Deniz
dc.contributor.authorGürbüz, Esra
dc.contributor.authorDinçer, Nevin Güler
dc.contributor.authorAlkan, Sevil
dc.date.accessioned2025-01-27T19:38:29Z
dc.date.available2025-01-27T19:38:29Z
dc.date.issued2023
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractAim: Some hematological changes are frequently observed in the clinical course of brucellosis. This study aimed to predict the diagnosis of brucellosis based on some hematological biomarkers with the help of ensemble classification methods. Materials and Methods: A total of 23 ensemble classification methods, including 10 bagging, 9 boosting, and 4 stacking approaches were applied to the brucellosis data set. Each subject in the brucellosis data set contains 13 features, including age, gender, and 10 hematological variables. Results: This study included a total of 257 participants [173 (67.3%) brucellosis patients and 84 (32.7%) healthy controls]. The mean values of white blood cells (WBC), hemoglobin (HGB), neutrophil (NEUT), neutrophil/lymphocytes (NEUT/LYMP), and monocytes/lymphocytes (MO/LYMP) of brucellosis patients were found to be significantly lower than those of healthy controls. Random Forest with Gini criterion (RF2) was selected to be the best fit model with a mean accuracy of 0.728. HGB (mean score = 0.1814), age (0.1311), NEUT/LYMP (0.0938), WBC (0.0817) and mean platelet volume (MPV) (0.0815) were determined as most diagnostic parameters in brucellosis. Conclusion: The lower levels of HGB, WBC, and NEUT/LYMP and higher levels of age and MPV may be important indicators for the diagnosis of brucellosis.
dc.identifier.doi10.5455/annalsmedres.2023.10.273
dc.identifier.endpage1522
dc.identifier.issn2636-7688
dc.identifier.issue12
dc.identifier.startpage1516
dc.identifier.trdizinid1215320
dc.identifier.urihttps://doi.org/10.5455/annalsmedres.2023.10.273
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1215320
dc.identifier.urihttps://hdl.handle.net/20.500.12428/17211
dc.identifier.volume30
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_TRD_20250125
dc.subjectMikrobiyoloji
dc.titlePrediction of brucellosis based on hematological biomarkers via ensemble classification methods
dc.typeArticle

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