A Novel Neural Fuzzy Approach for Diagnosis of Potassium Disturbances

Mashhour Bani Amer, Mohammad Amawi and Hasan El-Khatib
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Mashhour Bani Amer: Jordan University of Science and Technology, Jordan
Mohammad Amawi: Princess Badi’a Teaching Hospital, Jordan
Hasan El-Khatib: Princess Bassma Teaching Hospital, Jordan

International Journal of Healthcare Information Systems and Informatics (IJHISI), 2011, vol. 6, issue 3, 20-31

Abstract: In this paper, a neural fuzzy system for the diagnosis of potassium disturbances is presented. This paper develops an adaptive neuro-fuzzy expert system that can provide accurate diagnosis of potassium disturbances. The proposed diagnostic approach has many attractive features. First, it provides an efficient tool for diagnosis of K+ disturbances and aids clinicians, especially the non-expert ones, in providing fast and accurate diagnosis of K+ disturbances in critical time. Second, it significantly reduces the time needed to accomplish precise diagnosis of K+ disturbances and thus enhances the healthcare standards. Third, it is capable of diagnosing the different types of potassium disturbances using a hybrid neural fuzzy approach. Finally, it has good accuracy (higher than 87%), specificity (100%), and average sensitivity (83%). The performance of the proposed diagnostic system was experimentally evaluated and the achieved results confirmed that the proposed system is efficient and accurate in diagnosing K+ disturbances.

Date: 2011
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