From the Perspective of Computer Engineering: Research on Digestive Diseases based on Bioinformatics and Genetic Genetics

Abstract

Background: Irritable bowel syndrome needs long-term neuroscience detection after medical engineering modeling, during which time, computer engineering is needed to complete database collection. Research methods: The research team designed this model after constructing the illusion of intervention on different sweeteners and sugars. At the same time, the artificial intelligence neural system combined with data to predict which combination of sweeteners and sugars is likely to cause disease, which combination of sugar and glycogen may lead to irritable bowel syndrome in patients, and elaborate the neural network mechanism from the perspective of calculation. Results: Through experimental data processing and analysis, the research team completed the design of the model and established a complete computer network path. Conclusion: The model can be popularized in Europe, Russia, Belarus, China, Malaysia and other regions. After cooperation with Chifeng University, supported by the Autonomous University of Barcelona in Spain and the National University of Belarus, a more in-depth comparative experiment will be carried out to find a more accurate molecular mechanism.