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Combining glass box and black box evaluations in the identification of heart disease risk factors and their temporal relations from clinical records

机译:结合玻璃盒和黑盒评估从临床记录中鉴定心脏病危险因素及其时间关系

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摘要

BackgroundThe determination of risk factors and their temporal relations in natural language patient records is a complex task which has been addressed in the i2b2/UTHealth 2014 shared task. In this context, in most systems it was broadly decomposed into two sub-tasks implemented by two components: entity detection, and temporal relation determination. Task-level (“black box”) evaluation is relevant for the final clinical application, whereas component-level evaluation (“glass box”) is important for system development and progress monitoring. Unfortunately, because of the interaction between entity representation and temporal relation representation, glass box and black box evaluation cannot be managed straightforwardly at the same time in the setting of the i2b2/UTHealth 2014 task, making it difficult to assess reliably the relative performance and contribution of the individual components to the overall task.
机译:背景技术确定自然语言患者记录中的风险因素及其时间关系是一项复杂的任务,已在i2b2 / UTHealth 2014共享任务中解决。在这种情况下,在大多数系统中,它被广泛分解为由两个组件实现的两个子任务:实体检测和时间关系确定。任务级(“黑匣子”)评估与最终临床应用相关,而组件级评估(“玻璃匣子”)对于系统开发和进度监控很重要。不幸的是,由于实体表示和时间关系表示之间的交互作用,无法在i2b2 / UTHealth 2014任务的设置中同时直接管理玻璃盒和黑盒评估,从而难以可靠地评估相对性能和贡献各个组件对整体任务的影响。

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