Determination of Sex Differences Using Machine Learning Algorithms and Artificial Neural Networks with Parameters Obtained from Basilar Artery

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dc.contributor.authorSecgin, Yusuf
dc.contributor.authorErkartal, Halil Saban
dc.contributor.authorTatlı, Melike
dc.contributor.authorToy, Seyma
dc.contributor.authorOner, Zulal
dc.contributor.authorOner, Serkan
dc.date.accessioned2025-03-20T09:45:09Z
dc.date.available2025-03-20T09:45:09Z
dc.date.issued2024
dc.departmentİzmir Bakırçay Üniversitesi
dc.description.abstractThe determination of sex differences in anatomical structures is critical in establishing gold standard morphometric data in basic medical sciences, and in surgical and internal sciences in selecting the right area during invasive intervention and applying the correct intervention methodology appropriate to the area. The aim of this study is to determine the sex difference using Machine learning (ML) algorithms and Artificial neural networks (ANN) with parameters obtained from basilar artery. The study was performed on computed tomography angiography images of 63 women and 94 men. The following parameters were measured on the images: initial width of the right vertebral artery, initial width of the left vertebral artery, termination width of the right vertebral artery, termination width of the left vertebral artery, basilar artery width, and basilar artery length. The measurements were used in ML algorithms and ANN input to determine sex differences. As a result of the study, a sex difference rate of 0.84 was determined with the ML algorithms Random Forest (RF), Quadratic Discriminant Analysis (QDA), Extra Tree Classifier (ETC) and 0.84 with the Multilayer Perceptron Classifier (MLCP) algorithm of ANN. As a result of the study, sex difference was found with an accuracy rate of 0.84 using ML algorithms and ANN with parameters obtained from basilar artery. In this context, we think that this study will shed light on basic and clinical medical sciences. © 2024, Universidad de la Frontera. All rights reserved.
dc.identifier.doi10.4067/S0717-95022024000501295
dc.identifier.endpage1300
dc.identifier.issn0717-9367
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85208615158
dc.identifier.scopusqualityQ3
dc.identifier.startpage1295
dc.identifier.urihttps://doi.org/10.4067/S0717-95022024000501295
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2143
dc.identifier.volume42
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherUniversidad de la Frontera
dc.relation.ispartofInternational Journal of Morphology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20250319
dc.subjectArtificial neural networks
dc.subjectBasilar artery
dc.subjectMachine learning algorithms
dc.subjectSex difference
dc.titleDetermination of Sex Differences Using Machine Learning Algorithms and Artificial Neural Networks with Parameters Obtained from Basilar Artery
dc.title.alternativeDeterminación de Diferencias de Sexo Mediante Algoritmos de Aprendizaje Automático y Redes Neuronales Artificiales con Parámetros Obtenidos de la Arteria Basilar
dc.typeArticle

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