日用化学工业2017，Vol.47Issue(10)：568-572,602,6.DOI:10.13218/j.cnki.csdc.2017.10.007
采用贝叶斯网络法评价化妆品原料眼刺激性
A safety evaluation method of eye irritation evaluation of cosmetic ingredients based on Bayesian Network
摘要
Abstract
This study applied a Bayesian Network (BN )to predict eye irritation of cosmetic ingredients. It bases on the Integrated Testing Strategy (ITS)and combines evidence from different information sources such as QSAR model predictions,in vitro alternative method results and in vivo test results in order to increase the reliability of a conclusion on the eye irritation of cosmetic ingredients. The parameters of BN were calculated from an extended data set of 104 cosmetic ingredients. A detailed validation analysis and a case study of five cosmetic ingredients were carried out to demonstrate the utility of the BN for practical application. These results suggest that BN displays good predictive capacity in eye irritation of cosmetic ingredients and is of well application value as a prediction model in cosmetic safety evaluation.关键词
化妆品原料/眼刺激性/替代方法/贝叶斯网络/综合测试策略Key words
cosmetic ingredient/eye irritation/alternative methods/Bayesian Network/Integrated Testing Strategy分类
化学工程引用本文复制引用
陈莉,陈卫,季文君,朱乃军,方韵..采用贝叶斯网络法评价化妆品原料眼刺激性[J].日用化学工业,2017,47(10):568-572,602,6.基金项目
苏州市科技计划资助项目(SYS201662) （SYS201662）
