title: Inquiry diagnosis of coronary heart disease in Chinese medicine based on symptom-syndrome interactions.
abstract: BACKGROUND
  There is a long history of coronary heart disease (CHD) diagnosis and treatment in Chinese medicine (CM), but a formalized description of CM knowledge is still unavailable. This study aims to analyze a set of CM clinical data, which is important and urgent.
  
  
  METHODS
  Relative associated density (RAD) was used to analyze the one-way links between the symptoms or syndromes or both. RAD results were further used in symptom selection.
  
  
  RESULTS
  Analysis of a dataset of clinical CHD diagnosis revealed some significant relationships, not only between syndromes but also between symptoms and syndromes. Using RAD to select symptoms based on different classifiers improved the accuracy of syndrome prediction. Compared with other traditional symptom selection methods, RAD provided a higher interpretability of the CM data.
  
  
  CONCLUSIONS
  The RAD method is effective for CM clinical data analysis, particular for analysis of relationships between symptoms in diagnosis and generation of compact and comprehensible symptom feature subsets.
authors.affiliation: The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Department of Control Science & Engineering, Tongji University, Shanghai 201804, China. myyou@tongji.edu.cn.
authors.forename: Guo-Zheng
authors.initials: GZ
authors.lastname: Li
authors.forename: Sheng
authors.initials: S
authors.lastname: Sun
authors.forename: Mingyu
authors.initials: M
authors.lastname: You
authors.forename: Ya-Lei
authors.initials: YL
authors.lastname: Wang
authors.forename: Guo-Ping
authors.initials: GP
authors.lastname: Liu