ANN for prognosis of abdominal pain in childhood : use of fuzzy modelling for convergence estimation

This paper focuses in two parallel objectives. First it aims in presenting a series of Artificial Neural Network models that are capable of performing prognosis of abdominal pain in childhood. Clinical medical data records have been gathered and used towards this direction. Its second target is the presentation and application of an innovative fuzzy algebraic model capable of evaluating Artificial Neural Networks’ performance [1]. This model offers a flexible approach that uses fuzzy numbers, fuzzy sets and various fuzzy intensification and dilution techniques to perform assessment of neural models under different perspectives. It also produces partial and overall evaluation indices. The produced ANN models have proven to perform the classification with significant success in the testing phase with first time seen data.

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