Hypertension diagnosis using compound pattern recognition methods

• Autorzy: Krawczyk B. , Woźniak M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a hypertension type classification task where the decisions should be made only on the basis of blood pressure, general information and basis biochemical data. This problem has a great importance to the medical decision support systems, yet results achieved so far are not satisfactory. When the canonical approaches tend to fail we should look for the compound pattern recognition systems, such as multiple classifiers systems. This article presents the results of an experimental investigation of the pool of compound classifiers which have their origin in classifiers ensembles, random forest, and random subspace. Presented methods returned good, satisfactory results, outperforming canonical approaches for this problem.

Słowa kluczowe

EN

pattern recognition; compound methods; classifier ensembles; machine learning; unbalanced classification; two-stage recognition

PL

rozpoznawanie wzorców; metody złożone; zespoły klasyfikatora; uczenie maszynowe; niesymetryczna klasyfikacja; uznanie dwustopniowe

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2011
• Tom: Vol. 18
• Strony: 41--50
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Krawczyk B.

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

autor

Woźniak M.

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