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Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: A domain knowledge-infused convolutional neural network approach

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This study aims to develop a convolutional neural network-based learning framework called domain knowledge-infused convolutional neural network (DK-CNN) for retrieving clinically similar patient and to personalize the prediction of macrovascular complication using the retrieved patients. |