Prediction of acute toxicity of pesticides for Americamysis bahia using linear and nonlinear QSTR modelling approaches

Article

Abstract: Globally, pesticides are toxic substances with wide applications. However, the widespread use of pes

Palabras claves:

Aquatic toxicity, Machine learning, multiple linear regression, Quantitative Structure–Toxicity relationship, random forest

Autores:

Amilkar Puris, González‐díaz H., Karel Diéguez-Santana, Nachimba-Mayanchi M.M., Roldán Torres Gutiérrez

Fuentes:

google

scopus