Selection of classifier in acute abdominal pain diagnosis with decision tree model

• Autorzy: Burduk R.
• Języki publikacji: EN

Abstrakty

EN

The article presents the application of the decision tree classifier to the acute abdominal pain diagnosis. The recognition task model is based on a decision tree. In this model the decision tree structure is given by the experts. For the assumed structure of the decision tree the locally optimal strategy is considered. The problem discussed in the work shows a selection of different classifiers (parameters) to the internal nodes of the decision tree. Experiments conducted for selected medical diagnosis problem shows that the use of different parameters for k-NN classification can improve the quality of classification in comparison with the situation if it is used with the same parameter for all internal nodes of the decision tree.

Słowa kluczowe

EN

Bayes decision theory; multistage classifier; medical decision support systems

PL

teoria podejmowania decyzji Bayesa; wielostopniowy klasyfikator; medyczne systemy wspomagania decyzji

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2011
• Tom: Vol. 17
• Strony: 65--71
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Burduk R.

• Department of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland

Bibliografia

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