- Tytuł:
- Choice of a knowledge representation method for learning classifiers in medical domains
- Autorzy:
- Śnieżyński, B.
- Powiązania:
- https://bibliotekanauki.pl/articles/333765.pdf
- Data publikacji:
- 2005
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
metoda reprezentacji wiedzy
uczenie maszynowe
diagnostyka medyczna
knowledge representation methods
machine learning
medical diagnosis - Opis:
- Knowledge based systems in medical domains are common nowadays. Machine learning techniques are broadly used to generate knowledge for such systems. Developers have to choose not only the learning method, but also, what is even more important, the knowledge representation method. The most common criterion for such a choice is prediction accuracy. In the paper we argue that in certain cases knowledge representation, and its simplicity and intelligibility, are more important. In this paper results of experiments performed using several medical data sets and chosen machine learning algorithms are presented. Next, some examples of learned classifiers are shown. Analysis of results conclude the work.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2005, 9; 195-200
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł