Predicting blood lead in Uruguayan children: Individual- vs neighborhood-level ensemble learners.

• Главные авторы: Seth Frndak (Автор), Elena I Queirolo (Автор), Nelly Mañay (Автор), Guan Yu (Автор), Zia Ahmed (Автор), Gabriel Barg (Автор), Craig Colder (Автор), Katarzyna Kordas (Автор)
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• Опубликовано: Public Library of Science (PLoS), 2024-01-01T00:00:00Z.
• Предметы: article
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Predicting childhood blood lead levels (BLLs) has had mixed success, and it is unclear if individual- or neighborhood-level variables are most predictive. An ensemble machine learning (ML) approach to identify the most relevant predictors of BLL ≥2μg/dL in urban children was implemented. A cross-sec...