title: [Investigative strategy for research on biological basis of traditional Chinese medicine syndrome: feature selection-based data mining methods].
abstract: This paper is devoted to discussing two research patterns of biological basis of traditional Chinese medicine syndrome and presenting a research strategy for data mining methods. It points out that data mining methods which are based on feature selection are better fit for investigating biological basis of traditional Chinese medicine syndrome. Based on such a discussion, the concept of "characteristic pattern" is proposed to bridge the gap between "golden index" and biological basis of traditional Chinese medicine syndrome. This paper presents a novel research avenue for investigating biological basis of traditional Chinese medicine syndrome.
authors: Information Center, Department of Postgraduate, Beijing University of Chinese Medicine, Beijing 100029, China.
authors: Jian-xin
authors: JX
authors: Chen
authors: Hui-hui
authors: HH
authors: Zhao
authors: Wei
authors: W
authors: Wang
mesh_terms: D057225:Data Mining; D008516:Medicine, Chinese Traditional / Q000379:methods*; D012107:Research Design