Causal Mechanisms and Classification Trees for Predicting Chemical Carcinogens

Louis Anthony ("Tony") Cox, Jr.
Cox Associates
503 Franklin Street
Denver, Colorado, 80218
E-mail: tony@cox-associates.com
Phone: 303-388-1778
Fax: 303-388-0609

Abstract:

Classification trees, usually used as a nonlinear, nonparametric classification method, can also provide a powerful framework for comparing, assessing, and combining information from different expert systems, by treating their predictions as the independent variables in a classification tree analysis. This paper discusses the applied problem of classifying chemicals as human carcinogens. It shows how classification trees can be used to compare the information provided by ten different carcinogen classification expert systems, construct an improved "hybrid" classification system from them, and identify cost-effective combinations of assays (the inputs to the expert systems) to use in classifying chemicals in future.

classification trees, expert resolution, combining knowledge, classification expert systems

Available as an MS Word for Office 97 document, with hyperlinks to web resources, at http://www.cox-associates.com/coxpap~1.doc

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