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

Environmental Health Perspectives

Volumn 104, Issue SUPPL. 5, 1996, Pages 1059-1063

  Lee, Yongwon ^a,b   Buchanan, Bruce G ^a   Rosenkranz, Herbert S ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b LOCKHEED MARTIN   (United States)

Author keywords

Carcinogenicity; Inductive learning; Organ toxicity

Indexed keywords

CARCINOGEN; ORGANIC COMPOUND;

BIOASSAY; CARCINOGENICITY; CONFERENCE PAPER; NONHUMAN; PREDICTION; PRIORITY JOURNAL; RODENT; TOXICITY TESTING;

RODENTIA;

EID: 0029850561     PISSN: 00916765     EISSN: None     Source Type: Journal    
DOI: 10.1289/ehp.96104s51059     Document Type: Conference Paper

References (7)

1. Lee Y, Buchanan BG, Klopman G, Dimayuga M, Rosenkranz HS. The potential of organ specific toxicity for predicting rodent carcinogenicity. Mutat Res (in press).
2. Clearwater SH, Provost FJ. RL4: a tool for knowledge-based induction. In: Proceedings of Tools for Artificial Intelligence 90, Los Alamitos, CA:IEEE Computer Society Press, 1990;24-30.
3. Lee Y, Buchanan BG, Mattison DR, Klopman G, Rosenkranz HS. Learning rules to predict rodent carcinogenicity of nongenotoxic chemicals. Mutat Res 328:127-149 (1995).
4. Buchanan BG, Mitchell TM. Model directed learning of production rules. In: Pattern Directed Inference Systems (Waterman DA, Hayes-Roth F, eds). New York:Academic Press, 1978;297-312.
5. Gomez J, Lee Y, Mattison DR. RL: an innovative tool for predicting developmental toxicity. Toxicologist 14:295 (1994).
6. Clearwater SH, Lee Y. Use of a learning program for trigger sensitivity studies. In: Proceedings of the Third International Workshop on Software Engineering, Artificial Intelligence and Expert Systems for High Energy Physics, 4-8 October 1993, Oberammergau, Germany. Singapore: Word Scientific, 1993;207-212.
7. Provost FJ, Aronis J. Scaling up Inductive Learning with Massive Parallelism. Tech Rpt ISL-94. Intelligent System Laboratory. Pittsburgh:University of Pittsburgh Press, 1994.