Predictive Study on Pharmacological Effects of Herbal Medicine based on Support Vector Machine / 世界科学技术-中医药现代化

ABSTRACT

B ased on Chinese medicine pharmacological literature data , the property , flavor , toxicity , meridian tropism, efficacy, and clinical application of Chinese herbal medicine were used as a set of attributes. The sup-port vector machine ( SVM ) was used in the establishment of predictive models of 187 pharmacological effects of Chinese herbal medicine respectively. And the cross-validation method was used to determine the accuracy of predictive models . After that , the predictive models with the predictive accuracy rate greater than 90% were used to predicate pharmacological effects of 624 herbals recorded in the Chinese Pharmacopoeia(2010 edition). It was found that the accuracy rate of 108 models was greater than 90%, and the accuracy rate of antibacterial effect predictive model was 99.76%. The highest predictive value of Chinese herbal medicine was the anti-oxi-dation effect of Menispermi Rhizoma.