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

• Κύριοι συγγραφείς: Seth Frndak (Συγγραφέας), Elena I Queirolo (Συγγραφέας), Nelly Mañay (Συγγραφέας), Guan Yu (Συγγραφέας), Zia Ahmed (Συγγραφέας), Gabriel Barg (Συγγραφέας), Craig Colder (Συγγραφέας), Katarzyna Kordas (Συγγραφέας)
• Μορφή: Βιβλίο
• Έκδοση: Public Library of Science (PLoS), 2024-01-01T00:00:00Z.
• Θέματα: article
• Διαθέσιμο Online: 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...