Comparison of different inference algorithms for medical decision making
Autor: | Guven Kose, Hayri Sever, Mert Bal, Alp Ustundag |
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Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: | |
Zdroj: | International Journal of Computational Intelligence Systems, Vol 7, Iss 100 (2014) |
Druh dokumentu: | article |
ISSN: | 18756891 1875-6883 |
DOI: | 10.1080/18756891.2014.853929 |
Popis: | A medical diagnosis system (DRCAD), which consists of two sub-modules Bayesian and rule-based inference models, is presented in this study. Three types of tests are conducted to assess the performances of the models producing synthetic data based on the ALARM network. The results indicate that the linear combination of the aforementioned models leads to a 5% and a 30% improvement in medical diagnosis when compared to the “Rule Based Method” and the “Bayesian Network Based Method”, respectively. |
Databáze: | Directory of Open Access Journals |
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