An improved medical diagnosing of acute abdominal pain with decision tree

• Autorzy: Jankowski D. , Jackowski K.
• Języki publikacji: EN

Abstrakty

EN

In medical decision making (e.g., classification) we expect that decision will be made effectively and reliably. Decision making systems with their ability to learn automatically seem to be very appropriate for performing such tasks. Decision trees provide high classification accuracy with simple representation of gathered knowledge. Those advantages cause that decision trees have been widely used in different areas of medical decision making. In this paper we present characteristic of univariate and multivariate decision tree. We apply those classifiers to the problem of acute abdominal pain diagnosis.

Słowa kluczowe

EN

medical decision support systems; decision tree; classification

PL

medyczne systemy wspomagania decyzji; drzewo decyzyjne; klasyfikacja

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2012
• Tom: Vol. 20
• Strony: 65--71
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Jankowski D.

• Wroclaw University of Technology, Faculty of Electronics

autor

Jackowski K.

Bibliografia

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