Figure_1.tif (1.57 MB)
Artificial neural network model showing input variables (nodes), hidden nodes, and connection weights with output node for data on CA dysfunction.
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posted on 2013-08-05, 04:49 authored by Zi-Hui Tang, Juanmei Liu, Fangfang Zeng, Zhongtao Li, Xiaoling Yu, Linuo ZhouThe ANN model including 14 input nodes, 18 hidden nodes and 1 output node. Data from a total of 2077 patients had been used to ANN analysis. BMI- Body mass index, WC-waist circumference, SBP- systolic blood pressure, DBP- diastolic blood pressure, FPG- fasting plasma glucose, PBG- plasma blood glucose, IR-insulin resistance, TG- triglyceride, UA- uric acid, HR-heart rate, PH- Hypertension, DM- Diabetes, PHD- Hypertension duration, DMD- Diabetes duration.
