ML algorithms improve breast cancer detection accuracy.
problem Improving accuracy in breast cancer detection using machine learning.
method Comparison of six ML algorithms (GRU-SVM, Linear Regression, MLP, NN, Softmax Regression, SVM) on the WDBC dataset.
result ML algorithms achieve high accuracy (>90%) in classifying breast cancer.