挪威医疗记录中晕厥病例的分类

I. Pilán, P. Brekke, F. A. Dahl, T. Gundersen, Haldor Husby, Ø. Nytrø, Lilja Øvrelid
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引用次数: 1

摘要

意识丧失,即所谓的晕厥,是一种常见的症状,与许多心脏相关疾病的预后较差有关。我们提出的诊断分类任务的方法比较在挪威临床笔记,针对晕厥,即昏厥的情况下。我们发现一个经常被忽略的关键字匹配基线构成了一个相当强大的基础,但更先进的方法确实在分类性能上有一些改进,特别是卷积神经网络模型。开发的管道计划用于量化挪威未登记的晕厥病例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of Syncope Cases in Norwegian Medical Records
Loss of consciousness, so-called syncope, is a commonly occurring symptom associated with worse prognosis for a number of heart-related diseases. We present a comparison of methods for a diagnosis classification task in Norwegian clinical notes, targeting syncope, i.e. fainting cases. We find that an often neglected baseline with keyword matching constitutes a rather strong basis, but more advanced methods do offer some improvement in classification performance, especially a convolutional neural network model. The developed pipeline is planned to be used for quantifying unregistered syncope cases in Norway.
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