title: [The clinical application of data mining in laryngeal cancer].
abstract: OBJECTIVE
  To provide a basis for the prediction and early diagnosis of laryngeal cancer through data mining and analysis.
  
  
  METHODS
  We constructed a laryngeal cancer data warehouse on Caché and combined IBM Cognos for on-line analytical processing. After building research data set, software Weka was used for feature selection and data mining.
  
  
  RESULTS
  Data warehouse of laryngeal cancer was structured and Laryngeal cancer data were multidimensional presented. It is possible to find the high relevant and potential characteristics associated with laryngeal cancer by integration and 2-phase feature subset of data mining to extract the larynx.
  
  
  CONCLUSIONS
  Application of data mining technology could help clinicians to find potential clinical knowledge and make early diagnosis of laryngeal cancer.
authors.forename: Wen
authors.initials: W
authors.lastname: Xu
authors.forename: Rui
authors.initials: R
authors.lastname: Zhang
authors.forename: E
authors.initials: E
authors.lastname: Qimin
authors.forename: Jialin
authors.initials: J
authors.lastname: Liu
authors.forename: Chuanyu
authors.initials: C
authors.lastname: Laing
mesh_terms: D057225:Data Mining; D055088:Early Detection of Cancer; D006801:Humans; D007822:Laryngeal Neoplasms / Q000175:diagnosis*; D012984:Software