SIBM at CLEF eHealth Evaluation Lab 2016: Extracting Concepts in French Medical Texts with ECMT and CIMIND

This paper presents SIBM’s participation in the Multilingual Information Extraction task 2 of the CLEF eHealth 2016 evaluation initiative which focuses on named entity recognition in French written text. We report on the indexing of the provided QUAERO dataset with multiple knowledge organization systems (KOS) partially or totally translated in French. The extraction method is available online in the form a webbased service that requests the KOS to extract clinical concepts from Electronic Health Records. It is also available via a user-friendly interface developed for clinicians. We addressed the identification of relevant clinical entities within the International Classification of Diseases version 10 in the CépiDC dataset with a system based on natural language processing and approximate string matching methods. The results obtained this year were rather satisfactory and attested significant progress, particularly in exact match recognition, since our last year’s participation.