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arXiv · 1807.03674

IAM at CLEF eHealth 2018: Concept Annotation and Coding in French Death Certificates

Sébastien Cossin·Vianney Jouhet·Fleur Mougin·Gayo Diallo·Frantz Thiessard
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Abstract

In this paper, we describe the approach and results for our participation in the task 1 (multilingual information extraction) of the CLEF eHealth 2018 challenge. We addressed the task of automatically assigning ICD-10 codes to French death certificates. We used a dictionary-based approach using materials provided by the task organizers. The terms of the ICD-10 terminology were normalized, tokenized and stored in a tree data structure. The Levenshtein distance was used to detect typos. Frequent abbreviations were detected by manually creating a small set of them. Our system achieved an F-score of 0.786 (precision: 0.794, recall: 0.779). These scores were substantially higher than the average score of the systems that participated in the challenge.

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Sébastien Cossin, Vianney Jouhet, Fleur Mougin, Gayo Diallo, Frantz Thiessard. 2018-07-10. IAM at CLEF eHealth 2018: Concept Annotation and Coding in French Death Certificates. https://arxiv.org/abs/1807.03674

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