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Clinical Big Data and Deep Learning:Applications,Challenges,and Future Outlooks

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成果类型:
期刊论文
作者:
Ying Yu;Min Li 0007;Liangliang Liu 0001;Yaohang Li;Jianxin Wang 0001
通讯作者:
Wang, Jianxin(yaohang@odu.edu)
作者机构:
[Ying Yu; Min Li 0007; Liangliang Liu 0001; Jianxin Wang 0001] School of Computer Science and Engineering, Central South University, Changsha
410083, China
School of Computer Science and Technology, University of South China, Hengyang
421001, China
[Yaohang Li] Department of Computer Science, Old Dominion University, Norfolk
通讯机构:
[Wang, J.] S
School of Computer Science and Engineering, China
语种:
英文
关键词:
Clinical data;Clinical note;Deep learning;Electronic health record (EHR);Medical image
期刊:
大数据挖掘与分析(英文)
ISSN:
2096-0654
年:
2019
卷:
2
期:
4
页码:
288-305
基金类别:
This work was supported in part by the National Natural Science Foundation of China (Nos. 61772552 and 61772557), the 111 Project (No. B18059), and the Hunan Provincial Science and Technology Program (No. 2018WK4001).
机构署名:
本校为其他机构
院系归属:
计算机科学与技术学院
摘要:
The explosion of digital healthcare data has led to a surge of data-driven medical research based on machine learning. In recent years, as a powerful technique for big data, deep learning has gained a central position in machine learning circles for its great advantages in feature representation and pattern recognition. This article presents a comprehensive overview of studies that employ deep learning methods to deal with clinical data. Firstly, based on the analysis of the characteristics of clinical data, various types of clinical data (e.g....

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