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...

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Detalles Bibliográficos
Autores principales: von Borries, Kerstin, Holmquist, Hanna, Kosnik, Marissa, Beckwith, Katie V., Jolliet, Olivier, Goodman, Jonathan M., Fantke, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
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

Internet

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

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