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

• Main Authors: Seth Frndak (Author), Elena I Queirolo (Author), Nelly Mañay (Author), Guan Yu (Author), Zia Ahmed (Author), Gabriel Barg (Author), Craig Colder (Author), Katarzyna Kordas (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...