众包和自动化促进了随机对照试验在活体审查中的识别和分类
Mohammed Mujaab Kamso1, Jordi Pardo Pardo2, Samuel L Whittle3
1Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Journal of clinical epidemiology
|October 21, 2023
概括
这项研究展示了一种有效的方法来识别类风湿性关节炎随机对照试验 (RCT) 使用自动化和众包. 这种方法显著减少了专家审查员的工作量,同时保持了对试验纳入的高度敏感性.
科学领域:
- 类风湿病学 类风湿病学
- 医疗信息学 医疗信息学
- 证据综合 证据综合
背景情况:
- 生活系统性审查 (LSR) 需要有效的方法来识别和分类随机对照试验 (RCT).
- 传统的选方法对专家审查员来说可能是耗时和资源密集的.
结论:
- 机器学习,众包和实习生参与的综合方法有效地简化了风湿性关节炎的RCT查.
- 这种方法大大降低了专家审查员的工作量,并且在确定相关试验以进行系统性审查时表现出高度的敏感性.
关键词:
自动化 自动化 自动化众包服务 (crowdsourcing) 是一种众包服务.活着的系统审查.机器学习 机器学习随机对照试验 (RCT) 是指随机对照试验.类风湿性关节炎 类风湿性关节炎 类风湿性关节炎系统审查是系统的审查.更多相关视频
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