- Tytuł:
- Improving interpretability: combined use of LVQ and ARTMAP in decision support
- Autorzy:
-
Kwok, H. F.
Giorgi, A.
Raffone, A. - Powiązania:
- https://bibliotekanauki.pl/articles/309473.pdf
- Data publikacji:
- 2005
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
learning vector quantization
ARTMAP
decision support systems
ischemic heart disease - Opis:
- The learning vector quantization (LVQ) network was used to classify the ECG ST segment into different morphological categories. Due to the lack of data in the ST elevation categories, the classifier was only trained to identify different types of ST depressions (horizontal, upsloping and downsloping). The accuracies were 91%, 85% and 65% respectively for the training, validation and testing data respectively. Despite the low accuracy for the testing data, most of the mis-classifications were downsloping ST depression being classified as horizontal ST depression. We concluded that more data and more training are needed in order to train the LVQ to recognize other morphological types of ST deviation and to improve the accuracy.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2005, 4; 129-132
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł