Classification for Breast Cancer Diagnosis

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Published Mar 18, 2022

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Sena Goral
Mehmet Akif Ersoy University, Turkey

Abstract

Breast cancer is one of the most common types of cancer in the world. It is the type of cancer with the highest death rate from cancer in women. As with all cancer types, early diagnosis is very important in breast cancer. Diagnosis of the disease and interpretation of the tests by experts can be a long process. Machine learning techniques have become an important aid in disease diagnosis. Machine learning can get very fast and successful results even in large and complex data sets. In this study, 4 different classification methods were examined to help in the early diagnosis of breast cancer. these four methods; logistic regression, KNN, random forest and SVM. As a result of the examinations and studies, these methods were compared. As a result, the most successful results were achieved with logistic regression and SVM methods.

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How to Cite
GORAL, Sena. Classification for Breast Cancer Diagnosis. Journal of Multidisciplinary Developments, [S.l.], v. 7, n. 1, p. 9-15, mar. 2022. ISSN 2564-6095. Available at: <http://jomude.com/index.php/jomude/article/view/101>. Date accessed: 15 oct. 2024.
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Issue
Vol 7 No 1 (2022): "Creativity": Volume: 7, Issue: 1
Section
Natural Sciences - Regular Research Paper

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References

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