- Tytuł:
- Recognition of pathological states in arterial blood by distance based techniques
- Autorzy:
-
Sokołowska, B.
Jóźwik, A. - Powiązania:
- https://bibliotekanauki.pl/articles/333231.pdf
- Data publikacji:
- 2003
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
gazometria krwi tętniczej
paraliż przepony
zasada k-NN
klasyfikatory
arterial blood gasometry
paralysis of diaphragm
k-NN rule
classifiers
k-means algorithm - Opis:
- The paper presents the application of some distance based pattern recognition algorithms for recognition of pathological states in respiratory system on the basis of the arterial blood gasometry (features pH, pCO2, pO2). In our biological model two experimental situations were considered: 1) the intact animals and 2) the main inspiratory muscles paralyzed (after acute of bilateral phrenicotomy). The comparison of the mentioned three features in the two conditions was the main goal of the present study. The analyzed biological data set contained 38 in class 1 (muscle function preserved) and 36 in class 2 (after diaphragm paralyzed) measurements. It was discovered that a significant part of the measurements could be correctly recognized as the ones coming from the first or the second class according to gasometric measurements.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2003, 5; MI23-30
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł