Literature DB >> 27532327

Using Data Mining Strategies in Clinical Decision Making: A Literature Review.

Lu-Yen A Chen1, Tonks N Fawcett.   

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.

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Year:  2016        PMID: 27532327     DOI: 10.1097/CIN.0000000000000282

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  1 in total

1.  Automated data extraction of electronic medical records: Validity of data mining to construct research databases for eligibility in gastroenterological clinical trials.

Authors:  Nora Joseph; Ida Lindblad; Sara Zaker; Sharareh Elfversson; Maria Albinzon; Øyvind Ødegård; Li Hantler; Per M Hellström
Journal:  Ups J Med Sci       Date:  2022-01-27       Impact factor: 2.384

  1 in total

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