Neural Network System for Medical Diagnostic of Gastrointestinal Diseases
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”.