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_25
Snippet: FG OG IG Figure 4 The control principle of LSTM. diagnostic results. All data included 348 males (58%) and 252 females (42%), aged 21-87, the average age was 55.6 years. There were 321 hyperlipidemia patients (53.5%) in the entire data. Subjects excluded pregnant women, lactation and patients who long-term taking anti-hyperlipidemia drugs. All hematological parameters were obtained by a fellowshiptrained laboratory physician according to the gold.....
Document: FG OG IG Figure 4 The control principle of LSTM. diagnostic results. All data included 348 males (58%) and 252 females (42%), aged 21-87, the average age was 55.6 years. There were 321 hyperlipidemia patients (53.5%) in the entire data. Subjects excluded pregnant women, lactation and patients who long-term taking anti-hyperlipidemia drugs. All hematological parameters were obtained by a fellowshiptrained laboratory physician according to the golden criteria.
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