title: Carcinogenicity predictions for a group of 30 chemicals undergoing rodent cancer bioassays based on rules derived from subchronic organ toxicities.
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.
authors.affiliation: Intelligent Systems Laboratory, University of Pittsburgh, Pennsylvania 15238, USA.
authors.forename: Y
authors.initials: Y
authors.lastname: Lee
authors.forename: B G
authors.initials: BG
authors.lastname: Buchanan
authors.forename: H S
authors.initials: HS
authors.lastname: Rosenkranz
mesh_terms: D000818:Animals; D015197:Carcinogenicity Tests; D002273:Carcinogens / Q000633:toxicity*; D051379:Mice; D009928:Organ Specificity; D051381:Rats
chemical_list: D002273:Carcinogens