使用磁共振成像文本记录预测脑卒中预后的各种方法

Clinical Natural Language Processing Workshop Pub Date : 2020-11-01 DOI:10.18653/v1/2020.clinicalnlp-1.1

Tak-Sung Heo, Chulho Kim, J. Choi, Y. Jeong, Yu-Seop Kim

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引用次数: 2

摘要

中风是全世界导致死亡和残疾的主要原因之一。中风是可以治疗的，但治疗后容易致残，必须预防。为了掌握脑卒中导致的残疾程度，我们使用磁共振成像文本记录来预测脑卒中，并根据文档级和句子级表示来衡量表现。实验结果表明，文档级表示具有较好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records

Stroke is one of the leading causes of death and disability worldwide. Stroke is treatable, but it is prone to disability after treatment and must be prevented. To grasp the degree of disability caused by stroke, we use magnetic resonance imaging text records to predict stroke and measure the performance according to the document-level and sentence-level representation. As a result of the experiment, the document-level representation shows better performance.

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Clinical Natural Language Processing Workshop

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