Selected article for: "automatically hyperlipidemia diagnose and deep learning"
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_45
    Snippet: In this paper, an algorithm of attention deep learning is proposed which has the potential to automatically diagnose hyperlipidemia with human hematological parameters and provide the diagnostic markers and the importance of different markers for the diagnosis results at the same time. It achieved 97.48% AUC, 92% specificity and 96% sensitivity with the test dataset......
    Document: In this paper, an algorithm of attention deep learning is proposed which has the potential to automatically diagnose hyperlipidemia with human hematological parameters and provide the diagnostic markers and the importance of different markers for the diagnosis results at the same time. It achieved 97.48% AUC, 92% specificity and 96% sensitivity with the test dataset.

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