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        <title>Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records</title>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records
%A Heo, Tak-Sung
%A Kim, Chulho
%A Choi, Jeong-Myeong
%A Jeong, Yeong-Seok
%A Kim, Yu-Seop
%Y Rumshisky, Anna
%Y Roberts, Kirk
%Y Bethard, Steven
%Y Naumann, Tristan
%S Proceedings of the 3rd Clinical Natural Language Processing Workshop
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F heo-etal-2020-various
%X 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.
%R 10.18653/v1/2020.clinicalnlp-1.1
%U https://aclanthology.org/2020.clinicalnlp-1.1
%U https://doi.org/10.18653/v1/2020.clinicalnlp-1.1
%P 1-6

Markdown (Informal)

[Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records](https://aclanthology.org/2020.clinicalnlp-1.1) (Heo et al., ClinicalNLP 2020)

• Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records (Heo et al., ClinicalNLP 2020)

ACL

• Tak-Sung Heo, Chulho Kim, Jeong-Myeong Choi, Yeong-Seok Jeong, and Yu-Seop Kim. 2020. Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records. In Proceedings of the 3rd Clinical Natural Language Processing Workshop, pages 1–6, Online. Association for Computational Linguistics.