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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Principais autores:	Samir Shamma, Mohamed Ali Hussein, Eslam M. A. El-Nahrery, Ahmed Shahat, Tamer Shoeib, Anwar Abdelnaser
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2025-04-01
Serija:	Scientific Reports
Teme:	Organochlorine pesticides Thyroid dysfunction ML RF XGBoost GBM
Online dostop:	https://doi.org/10.1038/s41598-025-94827-z
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