A Systematic Review of Open Source Clinical Software on GitHub for Improving Software Reuse in Smart Healthcare

被引:8
|
作者
Shen, Zhengru [1 ]
Spruit, Marco [1 ]
机构
[1] Univ Utrecht, Dept Informat & Comp Sci, NL-3584 CC Utrecht, Netherlands
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 01期
基金
欧盟地平线“2020”;
关键词
open source; GitHub; clinical software; systematic study; generalized additive models; topic modeling; TOOLS;
D O I
10.3390/app9010150
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The plethora of open source clinical software offers great reuse opportunities for developers to build clinical tools at lower cost and at a faster pace. However, the lack of research on open source clinical software poses a challenge for software reuse in clinical software development. This paper aims to help clinical developers better understand open source clinical software by conducting a thorough investigation of open source clinical software hosted on GitHub. We first developed a data pipeline that automatically collected and preprocessed GitHub data. Then, a deep analysis with several methods, such as statistical analysis, hypothesis testing, and topic modeling, was conducted to reveal the overall status and various characteristics of open source clinical software. There were 14,971 clinical-related GitHub repositories created during the last 10 years, with an average annual growth rate of 55%. Among them, 12,919 are open source clinical software. Our analysis unveiled a number of interesting findings: Popular open source clinical software in terms of the number of stars, most productive countries that contribute to the community, important factors that make an open source clinical software popular, and 10 main groups of open source clinical software. The results can assist both researchers and practitioners, especially newcomers, in understanding open source clinical software.
引用
收藏
页数:13
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