Estimation of gender by using decision tree, a machine learning algorithm, with patellar measurements obtained from mdct images

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dc.contributor.authorÖner, Serkan
dc.contributor.authorTuran, Muhammed Kamil
dc.contributor.authorÖner, Zülal
dc.date.accessioned2024-09-29T16:31:07Z
dc.date.available2024-09-29T16:31:07Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractAim: The present study aimed to analyze whether gender could be determined with the decision tree (DT) method, a machine learning algorithm, based on patellar multidetector computed tomography (MDCT) image measurements. Material and Methods: The study was conducted on 219 male and 131 female MDCT images. The patellar anteroposterior (Ap), craniocaudal (Cc), transverse (Trv) length and volume (Vol), adjusted on the orthogonal plane by the radiologist, were calculated. In patellar length measurements, initially linear discriminant outliers were detected to clear the data for gender prediction. Accuracy (Acc), Sensitivity (Sen), Specificity (Spe), F1-Score (F1) and Matthew’s Correlation Coefficient (Mcc) criteria were taken as the performance criteria for DT. Results: It was determined that male Ap, Trv, Cc, and Vol values were higher when compared to the female values and there was a significant difference between these values based on gender (pAp, Trv, Cc, Vol = 0.000). Using the above-mentioned measurements, it was calculated that the prediction rate for male individuals was 98.2% and for female individuals, it was 98.4%. Conclusion: DT analysis based on patella morphometry provided a simple, adequate and highly accurate approach for gender estimation. Furthermore, it was determined that it would provide an advantage for researchers in gender prediction using only branching and cut-off values on the tree structure without the need to use a computer.en_US
dc.identifier.doi10.37990/medr.843451
dc.identifier.endpage9en_US
dc.identifier.issue1en_US
dc.identifier.startpage1en_US
dc.identifier.trdizinid1125116en_US
dc.identifier.urihttps://doi.org/10.37990/medr.843451
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1125116
dc.identifier.urihttps://hdl.handle.net/20.500.14619/11159
dc.identifier.volume3en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofMedical records-international medical journal (Online)en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleEstimation of gender by using decision tree, a machine learning algorithm, with patellar measurements obtained from mdct imagesen_US
dc.typeArticleen_US

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