evaluation of correlation between risk factors of breast tumors by multi nominal logit model

breast cancer is a malignant tumor and the most common cancer among american women that starts from cells of the breast. the growth of the size of data exceeds the ability of humans to analyze the data. so we need some intelligent machines that can analyze datasets intelligently for us. we propose a multi nominal logit model to evaluate correlation between risk factors of breast tumor. our model has 95% confidence. we use the aranobidgol's breast tumor dataset.