Prediction of Breast Cancer Using Artificial Neural Networks

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dc.contributor.authorSaritas, Ismail
dc.date.accessioned2020-03-26T18:31:05Z
dc.date.available2020-03-26T18:31:05Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, an artificial neural network (ANN) was developed to determine whether patients have breast cancer or not. Whether patients have cancer or not and if they have its type can be determined by using ANN and BI-RADS evaluation and based on the age of the patient, mass shape, mass border and mass density. Though this system cannot diagnose cancer conclusively, it helps physicians in deciding whether a biopsy is required by providing information about whether the patient has breast cancer or not. Data obtained from 800 patients who were diagnosed with cancer definitively through biopsy. The definitive diagnosis corresponding to each patient and the data from ANN model results were investigated using Confusion matrix and ROC analyses. In the test data of the ANN model that was implemented as a result of these analyses, disease prediction rate was 90.5% and the health ratio was 80.9%. It is seen from these high predictive values that the ANN model is fast, reliable and without any risks and therefore can be of great help to physicians.en_US
dc.description.sponsorshipSelcuk University Coordination Office of Scientific Research Projects (BAP)Selcuk Universityen_US
dc.description.sponsorshipThis study was supported by Selcuk University Coordination Office of Scientific Research Projects (BAP). Moreover, I would like to express my heartfelt thanks for Prof. Dr. Unal SERT of Selcuk University, Meram Medicine Faculty, who was my advisor and helped me in the evaluation of breast cancer data.en_US
dc.identifier.doi10.1007/s10916-011-9768-0en_US
dc.identifier.endpage2907en_US
dc.identifier.issn0148-5598en_US
dc.identifier.issue5en_US
dc.identifier.pmid21837454en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2901en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10916-011-9768-0
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28321
dc.identifier.volume36en_US
dc.identifier.wosWOS:000307994400020en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofJOURNAL OF MEDICAL SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial neural networken_US
dc.subjectBI-RADSen_US
dc.subjectBreast canceren_US
dc.subjectBreast cancer predictionen_US
dc.titlePrediction of Breast Cancer Using Artificial Neural Networksen_US
dc.typeArticleen_US

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