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Data analysis of medical doctors and clinical pharmacists’ cooperation

Maja Madarasi (2011) Data analysis of medical doctors and clinical pharmacists’ cooperation. EngD thesis.

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    The thesis describes the analysis of questionnaires filled out by doctors, nurses and pharmacists at the University Medical Centre Ljubljana about cooperation between them. The data were first processed in the statistical program R with OrdEval method, which is included in the CORElearn package and compared with other statistical techniques. Evaluation of attributes was carried out with ReliefF and MDL algorithms. Predictive models were created in the program Orange with 10-fold cross validation and leave-one-out cross-validation methods. We discovered that answers to certain questions are very important, because they influence the assessment of cooperation. The best classification accuracy was obtained with the classification tree, so we used it to predict the success of cooperation in clinical departments, who have not cooperated with the clinical pharmacists yet.

    Item Type: Thesis (EngD thesis)
    Keywords: machine learning, OrdEval method, data analysis, predictive models, cooperation between doctors and pharmacists
    Number of Pages: 64
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Marko Robnik Šikonja276Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00008610388)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 1491
    Date Deposited: 05 Sep 2011 12:28
    Last Modified: 21 Sep 2011 09:21
    URI: http://eprints.fri.uni-lj.si/id/eprint/1491

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