The 29th IEEE Conference on Signal Processing and Communications Applications (SİU2021), İstanbul, Türkiye, 9 - 11 Haziran 2021, ss.1-4
Abstract— The number of cancer patients is increasing
all over the world due to reasons such as environmental pollution, excess of
technological and biological wastes, climate change, and increased consumption
of unnatural foods. According to the data of the World Health Organization in
2020, there are over 19 million cancer patients in the world. The most common
type of cancer is breast cancer with 11.7%. Breast cancer is as high as 24.5%
in women and 15.5% of these cases result in death. Therefore, it is important
to detect cancer at an early stage. The purpose of this study is to detect cancer
in the fastest way and with the highest accuracy rates. In the study, high
performance results were obtained by comparing artificial neural networks and traditional
machine learning methods. In the study; Logistic Regression (LR), k-Nearest
Neighbors (kNN), Support Vector Machine (SVM), Random Forest (RF), Decision
Tree (DT), Xgboost (XGB) and Artificial Neural Network (ANN) were used. The
highest result obtained using traditional machine learning methods is 98.08%
with LR. In addition, using ANN, the highest value was obtained with an
accuracy rate of 99.36%.