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Figure 1 | BMC Medical Informatics and Decision Making

Figure 1

From: Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population

Figure 1

Artificial network model showing input variables (nodes), hidden nodes, and connection weights with output node for data on CA dysfunction. The ANN model including 14 input nodes, 18 hidden nodes and 1 output node. 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.

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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