Application of Fuzzy Neural Network in Diagnosis of Gastrointestinal System Diseases
Weicai Song, Yanxia Wu · 2017
Objective: Use the fuzzy neural network (FNN) model to diagnose four kinds of digestive tract diseases.Methods: 70 cases were randomly selected from 100 cases of gastrointestinal system diseases as training set, with 15 cases as a verification set and 15 cases as a test set.First, the FNN is trained, and then the trained FNN is used to test the validation set and test set.Results: The accuracy rate of FNN in diagnosing gastrointestinal system diseases was more than 95.2%.Conclusion: FNN model can be used for clinical diagnosis.