title: [Exploration of the food cluster automation in the China Total Diet Study].
abstract: OBJECTIVE
  To achieve the food cluster automation of China Total Diet Study and improve the quality and efficiency of the food cluster calculation.
  
  
  METHODS
  The food coding features were studied in the Chinese Food Composition Table. After analyzing the principles of food clustering on Total Diet Study, constructing an algorithm allows the computer language to identify these characteristics and principles to achieve automatic food cluster.
  
  
  RESULTS
  The instance was selected from the data of a province in the fifth Chinese Total Diet Study. 292 food items were clustered into 53 kinds of cluster food by computer program, and the results are corresponded to the cluster requirements of total diet study.
  
  
  CONCLUSIONS
  The automatic calculation of the food cluster can be achieved by computer program more reliable and effectively in the Total Diet Study.
authors: Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China. liwanqingseu@163.com
authors: Wanqing
authors: W
authors: Li
authors: Wenjie
authors: W
authors: Shen
authors: Junxia
authors: J
authors: Pan
authors: Jie
authors: J
authors: Min
authors: Xiaowei
authors: X
authors: Li
mesh_terms: D000465:Algorithms; D001332:Automatism; D002681:China; D016000:Cluster Analysis; D004034:Diet Surveys / Q000379:methods*; D005506:Food Contamination / Q000032:analysis*; D006801:Humans; D009716:Numerical Analysis, Computer-Assisted