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A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species

Published by U.S. EPA Office of Research and Development (ORD) | U.S. Environmental Protection Agency | Metadata Last Checked: August 02, 2025 | Last Modified: 2023-01-18
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).

Resources

4 resources available

  • https://github.com/USEPA/CompTox-PFASHalfLife

    FILE
  • S1_Dawson et al._ML PFAS_HL_101322.pdf

    APPLICATION/PDF
  • S2_Dawson et al._ML PFAS_HL_101322.csv

    TEXT/CSV
  • S3_Dawsonetal_PFAS_HL_101122.csv

    TEXT/CSV

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