NCT06765395

Explore Association Models Between Environmental Hormones andBreast Cancer

Applying Machine Learning to Explore Association Models Between Environmental Hormones, Breast Cancer, and a Dietary and Health Education Improvement Program: An Investigative Study

• Status: Active Not Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 687 (estimated)
• Sponsor: Pei-Hung Liao · Academic / Other
• Sex: Female
• Age: 20 Years
• Healthy volunteers: Accepted

Summary

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.

Detailed description

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.

Conditions

• Breast Diseases
• Breast Adenocarcinoma

Timeline

• Start date: 2023-03-20
• Primary completion: 2025-03-31
• Completion: 2025-03-31
• First posted: 2025-01-09
• Last updated: 2025-01-09

Locations

1 site across 1 country: Taiwan