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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Detalhes bibliográficos
Publicado no:JAMA Netw Open
Main Authors: Potash, Eric, Ghani, Rayid, Walsh, Joe, Jorgensen, Emile, Lohff, Cortland, Prachand, Nik, Mansour, Raed
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2020
Assuntos:
Original Investigation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7495240/
https://ncbi.nlm.nih.gov/pubmed/32936296
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2020.12734
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