title: Data mining and healthcare informatics.
abstract: OBJECTIVE
  To acquaint members of the Academy with a relatively recent development in the area of data exploration and statistical analysis.
  
  
  METHODS
  A review of the concepts and methods inherent in data-mining with a special emphasis on the those methods applicable to predictive modeling.
  
  
  RESULTS
  Data-mining is demonstrated to be a useful tool for researchers in those circumstances where large amounts of information are available.
  
  
  CONCLUSIONS
  With the advent and proliferation of on-line data collection, truly massive databases are now available to health care researchers. In that situation, data-mining methods yield some unique opportunities to researchers who wish to develop prediction models and to establish associations.
authors.affiliation: Department of Mathematical Statistics, West Virginia School of Medicine, Morgantown, USA. ghobbs@stat.wvu.edu
authors.forename: G R
authors.initials: GR
authors.lastname: Hobbs
mesh_terms: D003628:Database Management Systems; D003663:Decision Trees; D005069:Evaluation Studies as Topic; D006801:Humans; D008492:Medical Informatics Computing; D015233:Models, Statistical; D016571:Neural Networks, Computer; D012984:Software; D014481:United States; D014584:User-Computer Interface