- Tytuł:
- Binary Classification of Heart Failures Using k-NN with Various Distance Metrics
- Autorzy:
-
Udovychenko, Y.
Popov, A.
Chaikovsky, I. - Powiązania:
- https://bibliotekanauki.pl/articles/226330.pdf
- Data publikacji:
- 2015
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
magnetocardiography
current density imaging
current density distribution map
k-NN classification
negative Tpeak
heart failure diagnostics
Mahalanobis distance
Cityblock distance
Eucleadian distance
Chebyshev distance - Opis:
- Magnetocardiography is a sensitive technique of measuring low magnetic fields generated by heart functioning, which is used for diagnostics of large number of cardiovascular diseases. In this paper, k-nearest neighbor (k-NN) technique is used for binary classification of myocardium current density distribution maps (CDDM) from patients with negative T-peak, male and female patients with microvessels (diffuse) abnormalities and sportsmen, which are compared with normal control subjects. Number of neighbors for k-NN classifier was selected to obtain highest classification characteristics. Specificity, accuracy, precision and sensitivity of classification as functions of number of neighbors in k-NN are obtained for classification with several distance measures: Mahalanobis, Cityblock, Eucleadian and Chebyshev. Increase of the accuracy of classification for all groups up to 10% was obtained using Cityblock distance metric in binary k-NN classifier with 19 - 27 neighbors, comparing to other metrics. Obtained results are acceptable for further patient’s state evaluation.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2015, 61, 4; 339-344
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł