Improved Decision Making for Water Lead Testing in U.S. Child Care Facilities Using Machine-Learned Bayesian Networks

[Image: see text] Tap water lead testing programs in the U.S. need improved methods for identifying high-risk facilities to optimize limited resources. In this study, machine-learned Bayesian network (BN) models were used to predict building-wide water lead risk in over 4,000 child care facilities i...

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Detalles Bibliográficos
Autores principales: Mulhern, Riley E., Kondash, AJ, Norman, Ed, Johnson, Joseph, Levine, Keith, McWilliams, Andrea, Napier, Melanie, Weber, Frank, Stella, Laurie, Wood, Erica, Lee Pow Jackson, Crystal, Colley, Sarah, Cajka, Jamie, MacDonald Gibson, Jacqueline, Hoponick Redmon, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666530/
https://www.ncbi.nlm.nih.gov/pubmed/36932953
http://dx.doi.org/10.1021/acs.est.2c07477

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666530/
https://www.ncbi.nlm.nih.gov/pubmed/36932953
http://dx.doi.org/10.1021/acs.est.2c07477

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