The Use of Some Pattern Recognition Algorithms to Classify Patients Undergoing CABG

• Authors: Misztal, Małgorzata

Title variants

EN

Zastosowanie wybranych algorytmów rozpoznawania obrazów do klasyfikacji pacjentów z chorobą wieńcową leczonych operacyjnie

Abstracts

EN

The primary goal of pattern recognition is supervised or unsupcrvised classification in order to solve decision - making problems. Medical diagnosis brings about many practical problems, which may be interpreted as pattern recognition tasks. Making diagnosis of a given patient means to solve a classification problem - we must recognize patient’s disease on the basis on some symptoms. The aim of the article is to present the results of using selected pattern recognition algorithms to classify patients with Coronary Artery Disease undergoing Coronary Artery Bypass Grafting (CABG).

Keywords

EN

pattern recognition algorithms; classification trees; coronary artery disease

• Publisher: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
• Journal: Acta Universitatis Lodziensis. Folia Oeconomica
• Year: 2004
• Volume: 175

Dates

published

2004

Contributors

author

Misztal, Małgorzata

other

University of Łódź, Department of Statistical Methods

Identifiers

URI

http://hdl.handle.net/11089/16047