Applying Artificial Intelligence Constructing a Prediction Model Related to Environmental Hormones and Breast Cancer Incidence.

Breast cancer is the second leading cause of death in the world and the age of diagnosis is younger and younger. The research is aimed to make a prediction model related to environmental hormones and breast cancer incidence. First, we analyzed lab data to figure out the risk factor of breast cancer. By using Chi-square, Neural network and logistic regression, we find out that Lead, Copper, Zinc, Mercury, Chromium, Chloramphenicol, Sulfonamides, Penicillin and metabolites of phthalates MEP, MBHP related to incidence of breast cancer. These risk factors will be verified by questionnaire of daily habit survey of breast cancer patients. We will establish the relationship between breast cancer and environmental hormones and make public attention to risks of environmental hormones.