- Tytuł:
- Medical diagnosis support system based on the ensemble of single-parameter classifiers
- Autorzy:
-
Orczyk, T.
Porwik, P.
Bernaś, M. - Powiązania:
- https://bibliotekanauki.pl/articles/333746.pdf
- Data publikacji:
- 2014
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
classifier ensembles
combination rule
decision support system
zespoły klasyfikatora
zasada kombinacji
system wspomagania decyzji - Opis:
- This paper presents a medical diagnosis support system based on an ensemble of single parameter k–NN classifiers [1]. System was verified on a database containing real blood test results of diagnosed patients with a liver fibrosis. This dataset contains problems typical to a real medical data – especially missing values. Paper also describes the process of selecting a subset of parameters used for further evaluation (feature selection/elimination algorithm). Complete database contains many parameters, but not all are important for diagnosis, thus eliminating them is an important step. A comparison of proposed method of classification and feature selection with methods known from literature has also been presented.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2014, 23; 173-179
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł