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_30
Snippet: The model was built and trained by Keras using TensorFlow as backend. The experimental platform is Ubuntu 16.04 computer with NVIDIA GTX 1080 GPU. The test dataset and training dataset are completely independent and do not cross each other. The test dataset contains 50 hyperlipidemia samples (50%). In the test dataset, there are 64 male patients (64%) and 36 female patients (36%). We kept the test set in a sample equilibrium state so that any hea.....
Document: The model was built and trained by Keras using TensorFlow as backend. The experimental platform is Ubuntu 16.04 computer with NVIDIA GTX 1080 GPU. The test dataset and training dataset are completely independent and do not cross each other. The test dataset contains 50 hyperlipidemia samples (50%). In the test dataset, there are 64 male patients (64%) and 36 female patients (36%). We kept the test set in a sample equilibrium state so that any health condition can be verified with the same probability.
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