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Automatic annotation of French medical narratives with SNOMED CT concepts
2018
Swiss Medical Informatics
Medical data is multimodal. In particular, it is composed of both structured data and narrative data (free text). Narrative data is a type of unstructured data that, although containing valuable semantic and conceptual information, is rarely reused. In order to assure interoperability of medical data, automatic annotation of free text with SNOMED CT concepts via Natural Language Processing (NLP) tools is proposed. This task is performed using a hybrid multilingual syntactic parser. A
doi:10.4414/smi.34.00418
fatcat:ymdbnotdlrdh5o43vrsarzs5dq