Carcinogenicity predictions for a group of 30 chemicals undergoing rodent cancer bioassays based on rules derived from subchronic organ toxicities

Y Lee; B G Buchanan; H S Rosenkranz

doi:10.1289/ehp.96104s51059

Carcinogenicity predictions for a group of 30 chemicals undergoing rodent cancer bioassays based on rules derived from subchronic organ toxicities

Environ Health Perspect. 1996 Oct;104 Suppl 5(Suppl 5):1059-63. doi: 10.1289/ehp.96104s51059.

Authors

Y Lee¹, B G Buchanan, H S Rosenkranz

Affiliation

¹ Intelligent Systems Laboratory, University of Pittsburgh, Pennsylvania 15238, USA.

Abstract

Rodent carcinogenicities for a group of 30 chemicals which form the subject of the Second NIEHS Predictive-Toxicology Evaluation Experiment are predicted based on their subchronic organ toxicities. Predictions are made by rules learned by the rule learning (RL) induction program.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Animals
Carcinogenicity Tests*
Carcinogens / toxicity*
Mice
Organ Specificity
Rats

Substances

Carcinogens