Leveraging machine learning in precision medicine to unveil organochlorine pesticides as predictive biomarkers for thyroid dysfunction

Leveraging machine learning in precision medicine to unveil organochlorine pesticides as predictive biomarkers for thyroid dysfunction

Abstract Exposure to organochlorine pesticides (OCPs) poses significant health risks, including cancer, endocrine dysregulation, neurological disorders, and reproductive disruption. This study investigates the association between OCP exposure and thyroid disturbances using machine learning (ML) mode...

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Bibliographic Details
Main Authors: Samir Shamma, Mohamed Ali Hussein, Eslam M. A. El-Nahrery, Ahmed Shahat, Tamer Shoeib, Anwar Abdelnaser
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Organochlorine pesticides
Thyroid dysfunction
ML
RF
XGBoost
GBM
Online Access:https://doi.org/10.1038/s41598-025-94827-z
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https://doi.org/10.1038/s41598-025-94827-z

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