Review of representation learning and quality evaluation for medical text

Liu Xiaocong1a
Wang Huazhen1a,1b
He Ting1a
Gou Jin1a
Chen Jian2
1. a. College of Computer Science & Technology, b. Xiamen Key Laboratory of Computer Vision & Pattern Recognition, Huaqiao University, Xiamen Fujian 361021, China
2. ZoeSoft Co. Ltd. , Xiamen Fujian 361008, China

Abstract

In order to know the current research status of medical text representation learning in time, this paper made systematic and comprehensive review of the existing research. First of all, this paper summarized the mainstream technology and representative achievements of medical text representation learning from the methods based on statistical learning, knowledge representation and graph representation. Then, this paper proposed and used quantitative and qualitative quality evaluation system to systematically sort out and summarize the quality evaluation methods of medical text representation learning. Finally, this paper looked forward to the research trend of medical text representation learning.

Foundation Support

国家重点研发计划资助项目(2018YFB1402500)
华侨大学科研启动基金资助项目(16BS304)
华侨大学中央高校基本科研业务费资助项目(TZYB-202005)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.10.0352
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Survey
Pages: 1930-1936,1946
Serial Number: 1001-3695(2021)07-002-1930-07

Publish History

[2021-07-05] Printed Article

Cite This Article

刘晓聪, 王华珍, 何霆, 等. 医学文本表示学习方法与质量评测研究综述 [J]. 计算机应用研究, 2021, 38 (7): 1930-1936,1946. (Liu Xiaocong, Wang Huazhen, He Ting, et al. Review of representation learning and quality evaluation for medical text [J]. Application Research of Computers, 2021, 38 (7): 1930-1936,1946. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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