A Machine Learning Model To Estimate Toxicokinetic Half-Lives Of Per- And Polyfluoro-Alkyl Substances (PFAS) In Multiple Species

Data and code for "Dawson, D.E.; Lau, C.; Pradeep, P.; Sayre, R.R.; Judson, R.S.; Tornero-Velez, R.; Wambaugh, J.F. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species. Toxics 2023, 11, 98. https://doi.org/10.3390/toxics11020098"

Includes a link to R-markdown file allowing the application of the model to novel chemicals.

This dataset is associated with the following publication:
Dawson, D., C. Lau, P. Pradeep, R. Sayre, R. Judson, R. Tornero-Velez, and J. Wambaugh. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species. Toxics. MDPI, Basel, SWITZERLAND, 11(2): 98, (2023).
Organization: U.S. Environmental Protection Agency
Last updated: 2023-04-30T22:30:33.329276
Tags: half-life, machine-learning-model, pfas, toxicokinetics