Author: Liu, Yuliang; Zhang, Quan; Zhao, Geng; Liu, Guohua; Liu, Zhiang
Title: Deep Learning-Based Method of Diagnosing Hyperlipidemia and Providing Diagnostic Markers Automatically Document date: 2020_3_11
ID: 1r4gm2d4_2_1
Snippet: mbination of attention mechanism and deep learning model can imitate the functions of the human brain mentioned above, which has been proved to have the ability to focus on important features and has been applied in many fields such as image recognition and semantic recognition. [23] [24] [25] Therefore, in order to solve the above problems, this paper not only studies the automatic diagnosis of diseases with human physiological parameters, but a.....
Document: mbination of attention mechanism and deep learning model can imitate the functions of the human brain mentioned above, which has been proved to have the ability to focus on important features and has been applied in many fields such as image recognition and semantic recognition. [23] [24] [25] Therefore, in order to solve the above problems, this paper not only studies the automatic diagnosis of diseases with human physiological parameters, but also applies the attention mechanism to the auxiliary diagnosis model. This method gives the importance of different physiological parameters for disease diagnosis while automatically diagnosing diseases, enhances the interpretability of the model, and further enhances the assistant ability of the auxiliary diagnosis system for clinical research. This algorithm is called attention deep learning.
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