Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach.
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.
Author(s): Oei, Ronald Wihal, Hsu, Wynne, Lee, Mong Li, Tan, Ngiap Chuan
DOI: 10.1093/jamia/ocac212