Volume 7, Issue Supplement 1, January 2014, Pages 29 - 44
Comparison of different inference algorithms for medical decision making
Authors
Guven Kose, Hayri Sever, Mert Bal, Alp Ustundag
Corresponding Author
Guven Kose
Received 15 December 2012, Accepted 2 July 2013, Available Online 1 January 2014.
- 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/).
Cite this article
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 -