Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence
S. J. Moe, A. L. Madsen, K. A. Connors, J. M. Rawlings, S. E. Belanger, W. G. Landis, R. Wolf, A. D. Lillicrap
This paper develops a Bayesian network model to predict acute fish toxicity using fish embryo toxicity data and other chemical properties, achieving 69-80% accuracy.
bioRxiv · Aug 30, 2019Pharmacology & Toxicology