Survey of utilisation of fuzzy technology in medicine and healthcare
Fuzzy Sets and Systems - Special issue on clustering and learning
Journal of Global Optimization
System design by constraint adaptation and differential evolution
IEEE Transactions on Evolutionary Computation
HIROFILOS: a medical expert system for prostate diseases
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
PIESYS: a patient model-based intelligent system for continuing hypertension management
AIME'07 Proceedings of the 2007 conference on Knowledge management for health care procedures
Managing urinary incontinence through hand-held real-time decision support aid
Computer Methods and Programs in Biomedicine
International Journal of Artificial Intelligence and Soft Computing
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In this paper, we present the design, implementation and evaluation of HIGAS, a hybrid intelligent system that deals with diagnosis and treatment consultation of acid-base disturbances based on blood gas analysis data. The system mainly consists of a fuzzy expert system that incorporates an evolutionary algorithm in an off-line mode. The diagnosis process, the input variables and their values were modeled based on expert’s knowledge and existing literature. The fuzzy rules are organized in groups to be able to simulate the diagnosis process. Differential evolution algorithm is used to fine-tune the membership functions of the fuzzy variables. Medium scale experimental results show that HIGAS does better than its non-hybrid version, non-experts and other previous computer-based approaches.