Comparison of different inference algorithms for medical decision making

DOI

10.1080/18756891.2014.853929How to use a DOI?

Keywords

Medical Decision Support Systems, Bayesian Networks, Rule-Based Systems, ALARM Network

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Guven Kose
AU  - Hayri Sever
AU  - Mert Bal
AU  - Alp Ustundag
PY  - 2014
DA  - 2014/01/01
TI  - Comparison of different inference algorithms for medical decision making
JO  - International Journal of Computational Intelligence Systems
SP  - 29
EP  - 44
VL  - 7
IS  - Supplement 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.853929
DO  - 10.1080/18756891.2014.853929
ID  - Kose2014
ER  -