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CHIP 2021评测任务1概述:医学对话临床发现阴阳性判别任务
引用本文:熊英,陈漠沙,陈清财,汤步洲.CHIP 2021评测任务1概述:医学对话临床发现阴阳性判别任务[J].医学信息学杂志,2023,44(3):46-51.
作者姓名:熊英  陈漠沙  陈清财  汤步洲
作者单位:哈尔滨工业大学深圳计算机科学与技术学院 深圳 518055;鹏城实验室 深圳 518055;阿里巴巴 杭州 310052
摘    要:介绍基于医学对话的信息抽取相关研究现状,结合第七届中国健康信息处理会议组织的基于医学对话的临床发现阴阳性判别评测任务,阐述该任务评测数据集、评估指标,对比介绍前4名参赛者的方法并进行总结,以推进医疗人工智能领域的发展。

关 键 词:中国健康信息处理会议  在线问诊  阴阳性判别  人工智能  自然语言处理
修稿时间:2022/10/22 0:00:00

Overview of the CHIP 2021 Shared Task 1:Classifying Positive and Negative Clinical Findings in Medical Dialog
XIONG Ying,CHEN Mosh,CHEN Qingcai,TANG Buzhou.Overview of the CHIP 2021 Shared Task 1:Classifying Positive and Negative Clinical Findings in Medical Dialog[J].Journal of Medical Informatics,2023,44(3):46-51.
Authors:XIONG Ying  CHEN Mosh  CHEN Qingcai  TANG Buzhou
Institution:School of Computer Science and Technology, Harbin Institute of Technology Shenzhen ,Shenzhen 518055;Peng Cheng Laboratory, Shenzhen 518055, China;Alibaba Group, Hangzhou 310052, China
Abstract:The paper introduces the research status of information extraction based on medical dialogue, combined with a medical conversation-based clinical finding negative and positive discrimination task organized by the 7th China Health Information Processing Conference (CHIP 2021) , expounds the evaluation data set and evaluation indicators of the task, compares and summarizes the effective methods of the top 4 contestants, so as to promote the development of medical artificial intelligence (AI) field.
Keywords:China Health Information Processing Conference (CHIP)  online consultation  positive and negative classification  artificial intelligence (AI)  natural language processing (NLP)
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