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Computer-Aided Gastrointestinal Disease Analysis Based on Artificial Intelligence Method
Abstract
The diagnosis and treatment of gastrointestinal diseases are challenging because of the long incubation period. Although it has made progress at present, the overall prospect is still not optimistic. In this paper, a computer-aided gastrointestinal disease analysis scheme based on artificial intelligence method is proposed. The improved dictionary learning method is combined with BP neural network method in artificial intelligence method to analyze gastrointestinal diseases, extract key feature quantities, find common factors affecting treatment and choose the best treatment scheme. Finally, the simulation test and analysis are carried out. The simulation results show that this method has a certain accuracy, which is 6.25% higher than the traditional method. With the powerful data analysis ability of artificial intelligence technology, clinicians can combine complex molecular biological information to make more accurate judgments on patients' current condition and possible future progress, which is conducive to making individualized clinical decisions.
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