Clinical text classification with rule-based features and knowledge-guided convolutional neural networks

摘要

BackgroundClinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies have exploited effective representation learning capability of deep learning methods.