title: Extracting terms from clinical records of traditional Chinese medicine.
abstract: Health records of traditional Chinese medicine contain valuable clinical information which can be used for improvement of disease treatment and for medical research. In this paper, we present a practical iterative extraction method for extracting terms from the records. The method is based on a set of extraction rules, the Mesh, and the likelihood ratio technique, and achieved a precision rate of 88.18% and a recall rate of 94.21%.
authors.affiliation: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China, cgcao@ict.ac.cn.
authors.forename: Cungen
authors.initials: C
authors.lastname: Cao
authors.forename: Meng
authors.initials: M
authors.lastname: Sun
authors.forename: Shi
authors.initials: S
authors.lastname: Wang
mesh_terms: D001185:Artificial Intelligence; D057225:Data Mining / Q000379:methods*; D057286:Electronic Health Records; D006801:Humans; D016013:Likelihood Functions; D008516:Medicine, Chinese Traditional