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Potential for Machine Learning to Address Data Gaps in Human Toxicity and Ecotoxicity Characterization
[Image: see text] Machine Learning (ML) is increasingly applied to fill data gaps in assessments to quantify impacts associated with chemical emissions and chemicals in products. However, the systematic application of ML-based approaches to fill chemical data gaps is still limited, and their potenti...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666540/ https://www.ncbi.nlm.nih.gov/pubmed/37914529 http://dx.doi.org/10.1021/acs.est.3c05300 |