Phenonizer: A Fine-Grained Phenotypic Named Entity Recognizer for Chinese Clinical Texts

Biomedical named entity recognition (BioNER) from clinical texts is a fundamental task for clinical data analysis due to the availability of large volume of electronic medical record data, which are mostly in free text format, in real-world clinical settings. Clinical text data incorporates signific...

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Detalles Bibliográficos
Autores principales: Zou, Qunsheng, Yang, Kuo, Shu, Zixin, Chang, Kai, Zheng, Qiguang, Zheng, Yi, Lu, Kezhi, Xu, Ning, Tian, Haoyu, Li, Xiaomeng, Yang, Yuxia, Zhou, Yana, Yu, Haibin, Zhang, Xiaoping, Xia, Jianan, Zhu, Qiang, Poon, Josiah, Poon, Simon, Zhang, Runshun, Li, Xiaodong, Zhou, Xuezhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941495/
https://www.ncbi.nlm.nih.gov/pubmed/35342762
http://dx.doi.org/10.1155/2022/3524090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941495/
https://www.ncbi.nlm.nih.gov/pubmed/35342762
http://dx.doi.org/10.1155/2022/3524090

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