Knowledge-Based Recurrent Neural Network for TCM Cerebral Palsy Diagnosis.Cerebral palsy is one of the most prevalent neurological disorders and the most frequent cause of disability. 
Knowledge-Based Recurrent Neural Network
While the recurrent neural network (RNN) model has the potential to capture the correlation between symptoms and syndromes from electronic medical records (EMRs), it lacks TCM knowledge.  To make the model benefit from both TCM knowledge and EMRs, unlike the ordinary training routine, we begin by constructing a knowledge-based RNN (KBRNN) based on the cerebral palsy knowledge graph for domain knowledge.  In addition, the KBRNN can benefit from the labeled EMRs.  We use EMRs to fine-tune the KBRNN, which improves prediction accuracy.  Moreover, the KBRNN can be further trained by the EMRs. 
EMRs