The Induction of Rules for Predicting Chemical Carcinogenesis in Rodents
The Induction of Rules for Predicting Chemical Carcinogenesis in Rodents
复制标题
啮齿动物化学致癌预测规则的归纳
DOI：
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发表时间：
1993
期刊：
影响因子：
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通讯作者：
D. Bristol
中科院分区：
文献类型：
--
作者：
D. Bahler;D. Bristol
本文介绍了在应用各种基于诱导的方法来预测非同源（结构不同）化学物质的生物活性问题方面正在进行的努力的结果。它描述了最初的实验，其长期目标是帮助毒理学家、癌症研究人员、监管机构和其他人预测化合物的毒性作用。我们描述了一系列从长期动物研究中确定致癌性的示例化学品的树和规则归纳实验，并将结果分类准确性与8个已发表的人类和计算机对44种常见测试化学品的预测进行了比较。我们系统的准确性可以与目前发表的最准确的人类专家预测相媲美，并且超过了文献中任何基于计算机的预测。归纳规则对该领域现有的专家启发式知识进行了确认。这些早期结果表明，归纳方法在预测毒理学方面具有良好的潜力。
This paper presents results from an ongoing effort in applying a variety of induction-based methods to the problem of predicting the biological activity of noncongeneric (structurally dissimilar) chemicals. It describes initial experiments, the long-term goal of which is to assist toxicologists, cancer researchers, regulators, and others to predict the toxic effects of chemical compounds. We describe a series of experiments in tree and rule induction from a set of example chemicals whose carcinogenicity has been determined from long-term animal studies, and compare the resulting classification accuracy with eight published human and computer predictions for a common set of 44 test chemicals. The accuracy of our system is comparable to the most accurate human expert prediction yet published, and exceeds that of any of the computer-based predictions in the literature. The induced rules provide confirmation of current expert heuristic knowledge in this domain. These early results show that an inductive approach has excellent potential in predictive toxicology.
美国国家毒理学计划目前正在测试的化学品对啮齿动物致癌性的预测：结构-活性相关性。
影响因子：
2.7
作者：
Rosenkranz,HS;Klopman,G
通讯作者：
Klopman,G