Chinese electronic medical recordHybrid neural networkNamed entity recognition (NER) of electronic medical records is an important task in clinical medical research. Although deep learning combined with pretraining models performs well in recognizing entities in clinical texts, because Chinese electronic ...
Named entity recognition (NER) of electronic medical records is an important task in clinical medical research. Although deep learning combined with pretraining models performs well in recognizing entities in clinical texts, because Chinese electronic medical records have a special text structure and voca...
Medical-named-entity-recognition是一个针对医疗数据的命名实体识别项目。该项目的目标是从电子病历文本中准确地识别出解剖部位、独立症状、症状描述、手术和药物等五类实体。在医疗领域,命名实体识别是一项经典的序列标注问题,通过该项目可以提高对医疗数据的处理效率和准确性。项目中包含了600份经过标注的电子病历文本,...
Named entity recognition for Clinical records. Contribute to jacons/NERMedicalRecords development by creating an account on GitHub.
学术范收录的Conference A BERT-BiLSTM-CRF Model for Chinese Electronic Medical Records Named Entity Recognition,目前已有全文资源,进入学术范阅读全文,查看参考文献与引证文献,参与文献内容讨论。学术范是一个在线学术交流社区,收录论文、作者、研究机构等信息,
Medical named entity recognition (NER) is an area in which medical named entities are recognized from medical texts, such as diseases, drugs, surgery reports, anatomical parts, examination documents, and so on. Conventional medical NER methods do not make full use of un-labelled medical texts em...
Named Entity Recognition in Unstructured Medical Text Documents_2021_Cole Pearson 上传人:jrvbib188·上传时间:2022-09-28 1/6 继续阅读
Named entity recognition;Chinese electronic medical records;data masking;principal component analysis;regular expression 1 Introduction China has a large population and well-supported medical institutions, which makes the volume of medical record data huge [1]. And with the rapid development of big data...
Few-shot Learning for Named Entity Recognition in Medical Text笔记 1. Summary 本文对Electronic health records的一些数据集进行了命名实体识别研究。在利用其它相关数据集的基础上,对target dataset只采集10个样例进行few-shot learning,提出了五种提升性能的方法(tricks):...
The CCKS 2018 presented a named entity recognition (NER) task focusing on Chinese electronic medical records (EMR). The Knowledge Engineering Group of Tsinghua University and Yidu Cloud Beijing Technology Co., Ltd. provided an annotated dataset for this task, which is the only publicly available ...