Multiple Methods for Multi-class, Multi-label ICD-10 Coding of Multi-granularity, Multilingual Death Certificates
نویسندگان
چکیده
We present concept detection and normalization experiments on the French and English CLEF eHealth 2017 death certificate datasets. For this purpose, we start from our last published system, which relied upon dictionary projection and supervised multi-class, mono-label text classification using simple features. We extend this system in several dimensions with multi-label classification and new features, including an additional combination of dictionary and classifier. Because it only relies on the material provided by the task organizers, we could apply the same system to both the French and English datasets. Its results, registered as unofficial runs, equal or exceed those of the best submitted systems.
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