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Named entity recognition based on fusion of global and local semantic features for Chinese electronic medical records
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| Published in: | Discover Artificial Intelligence (Springer) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1869391355002748928 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Artificial Intelligence (Springer) |
| description | |
| discipline_display | Access Artificial Intelligence and Machine Learning |
| discipline_facet | Access Artificial Intelligence and Machine Learning |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:97346 |
| institution | FRELIP |
| journal_source_facet | Discover Artificial Intelligence (Springer) |
| last_indexed | 2026-06-30T03:35:22.423Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Named entity recognition based on fusion of global and local semantic features for Chinese electronic medical records Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| subject_facet | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| title | Named entity recognition based on fusion of global and local semantic features for Chinese electronic medical records |
| title_alt | Reconocimiento de entidades nombradas basado en fusión de características semánticas globales y locales para registros médicos electrónicos chinos Reconnaissance d'entités nommées basée sur la fusion de caractéristiques sémantiques globales et locales pour les dossiers médicaux électroniques chinois Reconhecimento de entidades nomeadas baseado na fusão de características semânticas globais e locais para prontuários eletrônicos chineses |
| title_auth | Named entity recognition based on fusion of global and local semantic features for Chinese electronic medical records |
| title_es_txt | Reconocimiento de entidades nombradas basado en fusión de características semánticas globales y locales para registros médicos electrónicos chinos |
| title_fr_txt | Reconnaissance d'entités nommées basée sur la fusion de caractéristiques sémantiques globales et locales pour les dossiers médicaux électroniques chinois |
| title_full | Named entity recognition based on fusion of global and local semantic features for Chinese electronic medical records |
| title_fullStr | Named entity recognition based on fusion of global and local semantic features for Chinese electronic medical records |
| title_full_unstemmed | Named entity recognition based on fusion of global and local semantic features for Chinese electronic medical records |
| title_pt_txt | Reconhecimento de entidades nomeadas baseado na fusão de características semânticas globais e locais para prontuários eletrônicos chineses |
| title_short | Named entity recognition based on fusion of global and local semantic features for Chinese electronic medical records |
| title_sort | named entity recognition based on fusion of global and local semantic features for chinese electronic medical records |
| topic | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| url | https://link.springer.com/article/10.1007/s44163-026-01658-6 |