Cardiovascular disease classification method and device based on multi-branch chain type neural network
A neural network and disease classification technology, applied in the field of deep learning, can solve problems that affect label classification results and limited performance of a single classification model, and achieve the effect of improving classification performance and improving classification performance
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[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0030] Based on the characteristics and defects of previous methods, the present invention proposes a cardiovascular disease classification method based on a multi-branch chain neural network, which solves the above problems. The overall structure is attached figure 1 As shown, it can be seen that the present invention adopts a multi-branch integration strategy, adds a variety of different tag sequences, makes full use of tag correlation and relationship diversity, and finally integrates the outputs of each branch and votes to obtain the final output; even if The classification errors mentioned above in a single classifier will also be diluted in the ensemble voting, greatly enhancing the robustness of the model.
[0031] The classification label ...
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