Comparison of different inference algorithms for medical decision making

Autor: Guven Kose, Hayri Sever, Mert Bal, Alp Ustundag
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.
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