Breast Cancer Prediction with Artificial Intelligence Based Clinical Decision Support System

Basit Öğe Kaydı
dc.contributor.authorCandan, Hasibe
dc.contributor.authorŞahin, Hasan
dc.date.accessioned2026-02-08T15:03:09Z
dc.date.available2026-02-08T15:03:09Z
dc.date.issued2023
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractBreast cancer is caused by uncontrolled cell growth and early detection is crucial for successful treatment. Diagnostic methods such as MRI, mammography, ultrasound and biopsy are used in the diagnosis of cancer. AI-based clinical decision support systems can predict treatment outcomes. A study was conducted to diagnose breast cancer using blood values and to increase performance metrics by applying discretization preprocessing. Machine learning methods were compared with 10-fold cross-validation and discretization applied and unapplied data, and the model with the best results was created. It gave the highest classification performance in breast cancer outcome prediction, with a sensitivity value of 0.828 for the Multi-Layer Sensor. In the model created by applying discretization, the Support Vector Machines increased from 55% to 72%.
dc.identifier.endpage35
dc.identifier.issn1305-8614
dc.identifier.issue1
dc.identifier.startpage29
dc.identifier.urihttps://hdl.handle.net/20.500.12885/3893
dc.identifier.volume19
dc.language.isoen
dc.publisherFevzullah TEMURTAŞ
dc.relation.ispartofElectronic Letters on Science and Engineering
dc.relation.ispartofElectronic Letters on Science and Engineering
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20260207
dc.subjectEngineering
dc.subjectMühendislik
dc.titleBreast Cancer Prediction with Artificial Intelligence Based Clinical Decision Support System
dc.typeArticle

Dosyalar

Koleksiyon

Öksüz Yayınlar Koleksiyonu