Overview of the NTCIR-10 MedNLP Task
Overview of the NTCIR-10 MedNLP Task
复制标题
DOI：
--
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Mizuki Morita;Yoshinobu Kano;Tomoko Ohkuma;M. Miyabe;E. Aramaki
中科院分区：
文献类型：
--
作者：
Mizuki Morita;Yoshinobu Kano;Tomoko Ohkuma;M. Miyabe;E. Aramaki
近年来，医疗记录越来越多地记录在电子媒体上而不是纸质记录上，从而增加了医疗领域中信息处理的重要性。我们组织了 NTCIR-10 医疗记录试点任务。我们的试点任务 MedNLP 包括三项任务：（1）去识别化，（2）投诉和诊断，以及（3）免费。这些任务代表了用于开发支持广泛多样化医疗服务的计算系统的基本技术。开发已产生用于任务(1)的22个系统、用于任务(2)的15个系统和用于任务(3)的1个系统。本报告介绍了这些系统的结果，并通过讨论阐明了医学 NLP 领域需要解决的问题。
Recently, medical records are increasingly written on electronic media instead of on paper, thereby increasing the importance of information processing in medical fields. We have organized an NTCIR-10 pilot task for medical records. Our pilot task, MedNLP, comprises three tasks: (1) de-identification, (2) complaint and diagnosis, and (3) free. These tasks represent elemental technologies used to develop computational systems supporting widely diverse medical services. Development has yielded 22 systems for task (1), 15 systems for task (2), and 1 system for task (3). This report presents results of these systems, with discussion clarifying the issues to be resolved in medical NLP fields.