Chinese EHRMedical named entity recognitionMulti-granularity semantic dictionaryMultimodal treeIn recent years, named entity recognition (NER) has attracted significant attention in various fields, especially in the clinical medical field, because NER is essential for useful mining knowledge in the clinical...
In order to overcome the problems of unstructured, multiple meanings of words and unclear word boundaries in text of Chinese electronic medical records, this paper proposes a medical entity recognition method based on RoFormerV2-BiLSTM-CRF fusion model, using BIO annotation method to annotate the ...
Security Insights Additional navigation options master 1Branch0Tags Code README medical NER 数据来源与预处理 数据来源 万方医学期刊论文题录数据(题名,关键词) 预定义实体 字符角色定义 BIESO B,即Begin,表示开始 I,即Intermediate,表示中间 E,即End,表示结尾 S,即Single,表示单个字符 O,即Other,表示其他,用于...
To extract key information from the huge amount of Chinese electronic medical records data, information extraction (IE) is needed. IE consists of three parts: named entity recognition (NER), relation extraction and event extraction. Named entity recognition is in continuous development, from the init...
Medical Entity Recognition and Attribute Extraction for Chinese EMR Dataset medicalentityrecognitionandattributeextractionforChineseEMR_datasets_test_datasets.7z medicalentityrecognitionandattributeextractionforChineseEMR_datasets_training_datasets.7z me
Named entity recognition (NER) in Chinese electronic medical records (EMRs) has become an important task of clinical natural language processing (NLP). However, limited studies have been performed on...关键词: Chinese electronic medical record Named entity recognition Deep learning Knowledge attention ...
Named Entity Recognition of Chinese Electronic Medical Record 1.概述 面向中文电子病历的命名实体识别数据集是CCKS2019的任务之一,包含以下两个子任务。(1)医疗命名实体识别本数据集是在2017年数据集做了修订,包括训练集和测试集。(2)医疗实体及属性抽取(跨院迁移)在医疗实体识别的基础上,对预定义实体属性进行抽取...
Chinese medical named entity recognition (NER) task usually lacks sufficient annotation data, and it contains many medical professional terms and abbreviations, making the NER task more difficult. In addition, compared with English NER, Chinese NER is more challenging because it lacks standard feature...
Named Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and has been practiced in many application scenarios. However, the application results of NER methods in Chinese electronic medical records (EMRs) are not satisfactory...
Finally, cross domains adversarial learning (CDAL) for Chinese named entity recognition is proposed to further improve the performance, which not only uses the pre-trained basic framework unit, but also uses the adversarial multi-task learning on both electronic medical record texts and online ...