Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
CliNER is an open-source natural language processing system for clinical named entity recognition in electronic health records. It identifies clinically relevant entities such as diseases, symptoms, medications, and procedures using either a traditional CRF classifier or a deep learning LSTM model.
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