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

Area of Science:

• Environmental Science
• Oncology
• Toxicology

Background:

• Breast cancer is a leading global cause of mortality, with a concerning trend of younger diagnoses.
• Environmental factors, particularly endocrine-disrupting chemicals, are increasingly implicated in cancer development.

Purpose of the Study:

• To develop a predictive model for breast cancer incidence based on environmental hormone exposure.
• To identify specific environmental risk factors associated with breast cancer.

Main Methods:

• Analysis of laboratory data to identify potential risk factors.
• Statistical methods including Chi-square, Neural Network, and Logistic Regression were employed.
• Planned verification of identified risk factors through patient habit surveys.

Main Results:

• Lead, Copper, Zinc, Mercury, Chromium, Chloramphenicol, Sulfonamides, and Penicillin were identified as potential risk factors.
• Specific phthalate metabolites, Monethyl phthalate (MEP) and Monobenzyl phthalate (MBHP), showed a relationship with breast cancer incidence.
• These findings highlight a correlation between environmental contaminants and breast cancer risk.

Conclusions:

• Environmental hormones and specific chemical exposures are significantly associated with breast cancer incidence.
• Further research and public awareness are crucial to mitigate risks associated with environmental hormone exposure.
• The study establishes a foundation for understanding the link between environmental factors and breast cancer.