Automating Biomedical Evidence Synthesis: RobotReviewer.
Automating Biomedical Evidence Synthesis: RobotReviewer.
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DOI：
10.18653/v1/p17-4002
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
Wallace BC
中科院分区：
文献类型：
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作者：
Marshall IJ;Kuiper J;Banner E;Wallace BC
我们提出RobotReviewer，一个开源的基于Web的系统，使用机器学习和NLP来半自动化生物医学证据合成，以帮助循证医学的实践。RobotReviewer处理描述随机对照试验（RCT）的全文期刊文章（PDF）。它评估RCT的可靠性，并提取描述关键试验特征的文本（例如，人口的描述）使用新的NLP方法。RobotReviewer然后自动生成一个综合这些信息的报告。我们的目标是让RobotReviewer自动提取和合成循证实践所需的全方位结构化数据。
We present RobotReviewer, an open-source web-based system that uses machine learning and NLP to semi-automate biomedical evidence synthesis, to aid the practice of Evidence-Based Medicine. RobotReviewer processes full-text journal articles (PDFs) describing randomized controlled trials (RCTs). It appraises the reliability of RCTs and extracts text describing key trial characteristics (e.g., descriptions of the population) using novel NLP methods. RobotReviewer then automatically generates a report synthesising this information. Our goal is for RobotReviewer to automatically extract and synthesise the full-range of structured data needed to inform evidence-based practice.