Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning
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Introduction: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR). ... ...
