Stress injury staging identification system based on neural network model and storage medium

The invention belongs to the technical field of medical diagnosis, and particularly relates to a stress injury staging recognition system based on a neural network model and a storage medium. The system comprises an input module used for inputting pressure sore images, nursing records and body temperature data; the feature extraction module is used for extracting features in the pressure sore image by adopting an image feature extraction network, extracting features in the nursing record by adopting a text feature extraction network, extracting features in the body temperature data by adopting a time sequence feature extraction network, and fusing the features to obtain multi-modal features; and the multi-layer sensing network module is used for inputting the multi-modal features into a multi-layer sensing network to obtain a staging identification result of the stress damage. The system is good in prediction performance and has a good application prospect. 本发明属于医学诊断技术领域，具体涉及一种基于神经网络模型的压力性损伤分期识别系统和存储介质。本发明的系统