A semantic and image recognition-based electrocardiography information extraction method and apparatus, a computer device, and a storage medium, which relate to artificial intelligence technology, and may be applied to smart medical treatment scenarios. The method comprises: performing semantic recognition on current text information to be recognized, and obtaining a semantic vector corresponding to the current text information to be recognized; receiving an uploaded electrocardiogram image, calling an attention mechanism-based Res2Net classification network, classifying the electrocardiogram image according to the attention mechanism-based Res2Net classification network, and obtaining a corresponding output vector; calling a pre-trained Light GBM model, inputting the semantic vector and the output vector into the Light GBM model for classification, and obtaining a corresponding classification result. The method also relates to medical technology and blockchain technology, in that text information uploaded by a user end and image information corresponding to an electrocardiogram image are combined, and classification is then performed by means of a Light GBM algorithm, thereby improving the accuracy and credibility of a classification result.
SEMANTIC AND IMAGE RECOGNITION-BASED ELECTROCARDIOGRAPHY INFORMATION EXTRACTION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM