Abstract
This article describes development experience of the neural network system for medical diagnostic of gastrointestinal diseases. There was used patient’s practical medical information for its creation. As input parameters were taken into consideration different factor groups, include demographic, patient’s complaints, life history, medical history and additional methods of research. Neural network model allowed making a significance assessment of factors, which have disease’s development influence. As a result, was designed neural network system of differential diagnosis, allowing diagnoses “gastritis”, “peptic ulcer”. In the future, developed diagnostic system can be used as a “provisional diagnosis of gastrointestinal diseases”.
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The publication was prepared with the financial support of RFBR: Grant No. 16-01-00164.
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Khlynova, O.V., Yasnitsky, L.N., Skachkova, I.V. (2019). Neural Network System for Medical Diagnostic of Gastrointestinal Diseases. In: Antipova, T., Rocha, A. (eds) Digital Science. DSIC18 2018. Advances in Intelligent Systems and Computing, vol 850. Springer, Cham. https://doi.org/10.1007/978-3-030-02351-5_41
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DOI: https://doi.org/10.1007/978-3-030-02351-5_41
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