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A fully integrated open-source toolkit for mining healthcare big-data: architecture and applications

机译:用于挖掘医疗大数据的完全集成的开源工具包:体系结构和应用程序

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We create an analytics toolkit based on open-source modules that facilitate the exploration of healthcare-related datasets. We illustrate our framework by providing a detailed analysis of physician and hospital ratings data. Our technique should prove valuable to software developers, big-data architects, hospital administrators, policy makers and patients. As an illustration of the capabilities of our toolkit, we examine a controversial issue in the medical field regarding the relationship between seniority of medical professionals and clinical outcomes. We use a publicly available dataset of national hospital ratings in the USA to suggest that there is no significant association between experience of medical professionals and hospital ratings as defined by the US government.
机译:我们根据开源模块创建一个分析工具包,促进了与医疗保健相关的数据集探索。我们通过提供医生和医院评级数据的详细分析来说明我们的框架。我们的技术应该向软件开发人员,大数据架构师,医院管理人员,政策制定者和患者提供有价值。作为我们工具包的能力的说明,我们在医疗专业人员资历与临床结果之间的关系中研究了一个有争议的问题。我们在美国使用全国医院评级的公共数据集,建议在美国政府定义的医疗专业人员和医院评级之间没有重大关联。

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