Multilabel classification of medical concepts for patient clinical profile identification

作者：

Highlights：

• Extracting key informations from clinical narratives is a NLP Challenge.

• There is a particular need to improve NLP tasks in languages other than English.

• Our approach allows automatic pathological domains detection from clinical notes.

• Using multilingual vocabularies and multilingual model leads to better results.

摘要

•Extracting key informations from clinical narratives is a NLP Challenge.•There is a particular need to improve NLP tasks in languages other than English.•Our approach allows automatic pathological domains detection from clinical notes.•Using multilingual vocabularies and multilingual model leads to better results.

论文关键词：Biomedical concepts,Multilabel classification,NER,Transformers,Multilingual NLP

论文评审过程：Received 9 September 2021, Revised 21 April 2022, Accepted 22 April 2022, Available online 26 April 2022, Version of Record 28 April 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102311