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Clinical Mobilebert I2b2 2010
MIT
基于i2b2-2010数据集微调的临床命名实体识别(NER)模型，专门识别三类临床实体：病症、治疗和检查。
序列标注
Transformers
TransformersC
nlpie
21
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Bert Large Uncased Med Ner
该模型用于识别医疗文本中的药物相关实体，包括药物名称、剂量、持续时间、频率和用药原因。
序列标注
B
samrawal
86
8
Clinical Assertion Negation Bert
该模型用于将临床患者信件中提及的医疗状况分类为存在(PRESENT)、不存在(ABSENT)和可能(POSSIBLE)，帮助结构化临床信件信息。
文本分类 Transformers 英语
Transformers 英语C
bvanaken
4,393
30
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