Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries
Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries
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发表时间：
2013-10
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通讯作者：
S. Higashiyama;Kazuhiro Seki;K. Uehara
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作者：
S. Higashiyama;Kazuhiro Seki;K. Uehara
随着以电子格式书写的医疗记录数量的增加，自然语言处理技术在医疗领域变得越来越重要。为了开发和评估基于机器学习的系统来提取医疗信息，我们最近参与了NTCIR-10 MedNLP任务。该任务的重点是日本的医疗记录，目的是评估不同的信息提取技术的共同数据集提供的组织者。我们实现了我们的基线系统的基础上结构化感知器，并已开发其扩展。在本文中，我们描述了我们的系统和报告的评价和分析他们的表现。
With the increase of the number of medical records written in an electronic format, natural language processing techniques in the medical domain have become more andmore important. Forthe purposeof the development and evaluation of machine learning-based systems to extract medical information, we recently participated in the NTCIR-10 MedNLP task. The task focused on Japanese medical records and aimed at evaluating different information extraction techniques on the common data set provided by the organizers. We implemented our baseline system based on structured perceptron and have developed its extensions. In this paper, we describe our systems and report on the evaluation of and the analysis on their performance.