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Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison

机译:使用基于深度学习的最新解析器解析临床文本:系统比较

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A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from multiple institutions) as well as depth (as much individual data as possible). We aimed to assess the degree to which individuals would be willing to contribute their health data to such a repository. A compact e-survey probed willingness to share demographic and clinical data categories. Participants were faculty, staff, and students in two geographically diverse major medical centers (Utah and New York). Such a sample could be expected to respond like a typical potential participant from the general public who is given complete and fully informed consent about the pros and cons of participating in a research study. 2140 respondents completed the surveys. 56% of respondents were “somewhat/definitely willing” to share clinical data with identifiers, while 89% of respondents were “somewhat (17%) /definitely willing (72%)” to share without identifiers. Results were consistent across gender, age, and education, but there were some differences by geographical region. Individuals were most reluctant (50–74%) sharing mental health, substance abuse, and domestic violence data. We conclude that a substantial fraction of potential patient participants, once educated about risks and benefits, would be willing to donate de-identified clinical data to a shared research repository. A slight majority even would be willing to share absent de-identification, suggesting that perceptions about data misuse are not a major concern. Such a repository of clinical notes should be invaluable for clinical NLP research and advancement.
机译:可共享的临床笔记库对于推进自然语言处理(NLP)研究至关重要,因此许多NLP研究人员的目标是创建一个可共享的临床笔记库,该库具有广度(来自多个机构)以及深度(如尽可能多的个人数据)。我们旨在评估个人愿意将其健康数据贡献给这样一个存储库的程度。一份紧凑的电子调查探讨了共享人口统计和临床数据类别的意愿。参与者是两个地理位置不同的主要医学中心(犹他州和纽约州)的教职员工和学生。可以预期这样的样本会像一般公众中潜在的参与者一样做出回应,他们会获得关于参与研究的利弊的完整而充分的知情同意。 2140名受访者完成了调查。 56%的受访者“有点/绝对愿意”与标识符共享临床数据,而89%的受访者“有点(17%)/绝对愿意(72%)”共享不带标识符的临床数据。结果在性别,年龄和受教育程度方面是一致的,但是按地理区域存在一些差异。个人最不愿意(50-74%)分享心理健康,药物滥用和家庭暴力数据。我们得出的结论是,一旦对潜在风险参与者进行了风险和收益方面的教育,他们将愿意将身份不明的临床数据捐赠给共享的研究资料库。即使是极少数人也愿意分享缺失的身份标识,这表明对数据滥用的看法并不是主要问题。这样的临床记录库对于临床NLP研究和进步应该是无价的。

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