Biomedical Engineering Research: Computer Translating and Teaching System and Neural Network

Abstract

In the research on medical students, the research team obtained the idea of using English teaching to cultivate interdisciplinary talents, and established a computer teaching model to predict the incidence rate of cancer through the use of computer engineering based in-depth learning and oncology. Through the situation of susceptible gene mutation and computer imaging after chromosome staining, an algorithm teaching model using convolutional neural network and linear function is proposed. This model solves the problem that computer engineering students lack knowledge of medicine. This model can enhance medical students' understanding of applied mathematics and neural networks, provide new ideas for the medical community to comprehensively promote in-depth learning, and design social experiments, carry out data analysis and data visualization. The research team analyzed and reported this situation, summarized and communicated.