Computer Engineering and Neural Network: Design and Data Structure Exploration of Predictive Algorithms for Gastrointestinal Tumors

Abstract

The research team has proposed a neural network modeling strategy for human changes in neuroscience in the clinical research of sympathetic nerve in digestive tract tumor diseases. This strategy is to solve the prediction of cancer pain scores caused by cancer invading nerves or other molecular change pathways in patients with digestive tract tumors. In computer engineering, The research group has analyzed the data classification and data classification mechanism for the database required by the neural network, and proposed the strategy of continuously optimizing the model and improving the prediction accuracy on the neural network, as well as computer modeling. This scientific research achievement mainly gathers the models related to oncology, neuroscience, and computer engineering, and solves the problem of pain prediction for cancer patients, It puts forward new strategies and new ideas for clinical treatment.