title: Using Data Mining Strategies in Clinical Decision Making: A Literature Review.
abstract: Several data-mining models have been embedded in the clinical environment to improve decision making and patient safety. Consequently, it is crucial to survey the principal data-mining strategies currently used in clinical decision making and to determine the disadvantages and advantages of using these strategies in data mining in clinical decision making. A literature review was conducted, which identified 21 relevant articles. The article findings showed that multiple models of data mining were used in clinical decision making. Although data mining is efficient and accurate, the models are limited with respect to disease and condition.
authors.affiliation: Author Affiliations: The School of Health in Social Science, The University of Edinburgh, Edinburgh, United Kingdom.
authors.forename: Lu-Yen A
authors.initials: LA
authors.lastname: Chen
authors.forename: Tonks N
authors.initials: TN
authors.lastname: Fawcett
mesh_terms: D000066491:Clinical Decision-Making; D057225:Data Mining / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical; D048108:Nursing Informatics