Abstract: Medical records may be analyzed to identify important items in the text of the medical record. Actionable content may be identified and may be emphasized or extracted from the medical record. Actionable content may be categorized into one or more categories. Identification may include processing using trained models that use contextual information and position information to determine sentence labels.

Abstract: Electronic health records may be organized into problem-oriented medical records. Generating problem-oriented medical record may be based on problem and target relations. Problem and target relations may be determined from a knowledge base. An initial knowledge base may be determined from medical data sets and annotated problem and target relations. The initial knowledge base may be completed to establish new problem target relations using a trained model and/or site embeddings, data statistics, and combined embeddings. The completed knowledge base may be used in generation of problem-oriented medical records.

Abstract: Medical records may be analyzed to identify important items in the text of the medical record. Actionable content may be identified and may be emphasized or extracted from the medical record. Actionable content may be categorized into one or more categories. Identification may include processing using trained models that use contextual information and position information to determine sentence labels.