Applying Machine Learning to Explore Association Models Between Environmental Hormones, Breast Cancer, and a Dietary and Health Education Improvement Program: An Investigative Study
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 687
- 试验地点
- 1
- 主要终点
- established an association model between environmental hormones and breast cancer
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 20 Years 至 —（Adult, Older Adult）
- 性别
- Female
- 接受健康志愿者
- 是
入选标准
- •(1) patients aged 20 years or above; (2) patients with breast cancer.
排除标准
- •non-patients with breast cancer
结局指标
主要结局
established an association model between environmental hormones and breast cancer
时间窗: 2015~2024
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.
次要结局
未报告次要终点
研究者
Pei-Hung Liao
Associate professor
National Taipei University of Nursing and Health Sciences