investigated the association model between environmental hormone-related living habits and breast cancer, as well as dietary improvement programs through machine learning and clinical validation of patients with breast cancer.
Female breast cancer is the second most common cancer worldwide and the age at diagnosis is decreasing. Traditional risk factor screening for breast cancer focuses on reproductive history, family history, age at menarche, and age at menopause; however, young patients diagnosed with breast cancer who do not meet the above risk factors are becoming common.This study established an association model between environmental hormones and breast cancer through machine learning to improve dietary programs to reduce the incidence of breast cancer.
Study Type
OBSERVATIONAL
Enrollment
687
National Taipei university of Nursing and health science
Taipei, Peitou, Taiwan
established an association model between environmental hormones and breast cancer
The basic personal information of the participants included gender, age, height, weight, past disease history, family history, reproductive history, postoperative medication, chemotherapy type, breast cancer pathology type, stage, etc.
Time frame: 2015~2024
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.