An experimental comparison of fuzzy logic and analytic hierarchy process for medical decision support systems

Computer Methods and Programs in Biomedicine
Faith-Michael E UzokaJ Osuji

Abstract

The task of medical diagnosis is a complex one, considering the level vagueness and uncertainty management, especially when the disease has multiple symptoms. A number of researchers have utilized the fuzzy-analytic hierarchy process (fuzzy-AHP) methodology in handling imprecise data in medical diagnosis and therapy. The fuzzy logic is able to handle vagueness and unstructuredness in decision making, while the AHP has the ability to carry out pairwise comparison of decision elements in order to determine their importance in the decision process. This study attempts to do a case comparison of the fuzzy and AHP methods in the development of medical diagnosis system, which involves basic symptoms elicitation and analysis. The results of the study indicate a non-statistically significant relative superiority of the fuzzy technology over the AHP technology. Data collected from 30 malaria patients were used to diagnose using AHP and fuzzy logic independent of one another. The results were compared and found to covary strongly. It was also discovered from the results of fuzzy logic diagnosis covary a little bit more strongly to the conventional diagnosis results than that of AHP.

References

Jan 1, 1988·Annals of Internal Medicine·P SzolovitsW B Schwartz
Feb 26, 1998·Artificial Intelligence in Medicine·A S Ochi-Okorie
Dec 9, 2004·Journal of Medical Microbiology·M F OzsoyO S Yenen

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Citations

Sep 6, 2012·BMC Medical Informatics and Decision Making·Vijay K MagoElpiniki I Papageorgiou
Jan 8, 2013·BMC Medical Informatics and Decision Making·Leandro PecchiaStephen P Morgan
Dec 26, 2015·BMC Medical Informatics and Decision Making·Katharina SchmidtJ-Matthias Graf von der Schulenburg
Dec 6, 2014·Australasian Physical & Engineering Sciences in Medicine·Mirza Mansoor BaigMartin J Connolly
Feb 26, 2015·Journal of Oncology Practice·Peter Paul Yu
Aug 8, 2018··Uvaliyeva IndiraSaule Belginova

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