Environmental Health
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Records 1 - 5 (of 5 Records) |
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| Predicting Low-Level Childhood Lead Exposure in Metro Atlanta Using Ensemble Machine Learning of High-Resolution Raster Cells. Seth Frndak et al. International journal of environmental research and public health 2023 20(5) |
| A new approach to a legacy concern: Evaluating machine-learned Bayesian networks to predict childhood lead exposure risk from community water systems. Mulhern Riley et al. Environmental research 2021 204(Pt B) 112146 |
| Novel Application of Machine Learning Algorithms and Model-Agnostic Methods to Identify Factors Influencing Childhood Blood Lead Levels. Liu Xiaochi et al. Environmental science & technology 2021 |
| Validation of a Machine Learning Model to Predict Childhood Lead Poisoning. Potash Eric et al. JAMA network open 2020 Sep 3(9) e2012734 |
| Association of lead-exposure risk and family income with childhood brain outcomes. Marshall Andrew T et al. Nature medicine 2020 26(1) 91-97 |