Validation of a Machine Learning Model to Predict Childhood Lead Poisoning

IMPORTANCE: Childhood lead poisoning causes irreversible neurobehavioral deficits, but current practice is secondary prevention. OBJECTIVE: To validate a machine learning (random forest) prediction model of elevated blood lead levels (EBLLs) by comparison with a parsimonious logistic regression. DES...

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Detalles Bibliográficos
Autores principales: Potash, Eric, Ghani, Rayid, Walsh, Joe, Jorgensen, Emile, Lohff, Cortland, Prachand, Nik, Mansour, Raed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495240/
https://www.ncbi.nlm.nih.gov/pubmed/32936296
http://dx.doi.org/10.1001/jamanetworkopen.2020.12734

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