Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6306398 | Chemosphere | 2017 | 7 Pages |
Abstract
Acute contact toxicity data were collected from different sources for 256 pesticides, which were divided into training and test sets. The k-NN models were validated with good prediction, with an accuracy of 70% for all compounds and of 65% for highly toxic compounds, suggesting that they might reliably predict the toxicity of structurally diverse pesticides and could be used to screen and prioritise new pesticides.
Keywords
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Environmental Chemistry
Authors
F. Como, E. Carnesecchi, S. Volani, J.L. Dorne, J. Richardson, A. Bassan, M. Pavan, E. Benfenati,