Abstract
Convolutional neural networks can be used to predict amylase levels in patients with acute abdomen. Based on this algorithm, we can reduce the error rate in hospital emergency work. As a biomedical engineering study, this study processed a series of continuous data such as patient age, symptoms, pain index, and life risk exposure factors. This software project has the ability to perform regression analysis based on the above characteristics, it can be used to determine whether the blood amylase level is normal, which provides assistance in the clinical diagnosis of pancreatitis, a disease that directly affects the 24-hour survival of patients. We believe that this software engineering can serve as a purchasing option for e-commerce systems and propose a solution for this situation.
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