TY - GEN
T1 - Combining different inference methods for medical decision support systems
AU - Kose, Guven
AU - Sever, Hayri
AU - Bal, Mert
AU - Ustundag, Alp
PY - 2012
Y1 - 2012
N2 - In this study, synthetic data with 100, 1000 and 2000 records have been produced to reflect the probabilities on the ALARM network. In this study, a medical diagnosis system called as DRCAD is presented. DRCAD system is more innovative and interesting than the classical diagnosis support systems. In other words, DRCAD collects possible diagnosis of the patients from two sub modules. Each of these two sub modules gives the possible diagnosis from symptoms in a specific confidence degree. The proposal of two sub modules are combined linearly and diagnosis decisions are presented as a list. Each of the sub modules consist of Bayesian inference and rule-based inference models respectively. As a result, the methods in which the conclusions are combined in a linear manner are 5% more successful than the "rule Based Method" when applied individually and 30% more successful than the cases where the "Bayesian Network Based Method" is utilized.
AB - In this study, synthetic data with 100, 1000 and 2000 records have been produced to reflect the probabilities on the ALARM network. In this study, a medical diagnosis system called as DRCAD is presented. DRCAD system is more innovative and interesting than the classical diagnosis support systems. In other words, DRCAD collects possible diagnosis of the patients from two sub modules. Each of these two sub modules gives the possible diagnosis from symptoms in a specific confidence degree. The proposal of two sub modules are combined linearly and diagnosis decisions are presented as a list. Each of the sub modules consist of Bayesian inference and rule-based inference models respectively. As a result, the methods in which the conclusions are combined in a linear manner are 5% more successful than the "rule Based Method" when applied individually and 30% more successful than the cases where the "Bayesian Network Based Method" is utilized.
UR - http://www.scopus.com/inward/record.url?scp=84892638875&partnerID=8YFLogxK
U2 - 10.1142/9789814417747_0015
DO - 10.1142/9789814417747_0015
M3 - Conference contribution
AN - SCOPUS:84892638875
SN - 9789814417730
T3 - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
SP - 88
EP - 93
BT - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PB - World Scientific Publishing Co. Pte Ltd
T2 - 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Y2 - 26 August 2012 through 29 August 2012
ER -