EQuitable, Uniform and Intelligent Time-based conformal Inference (EQUITI) Framework

项目摘要 脓毒症是由宿主对感染的功能失调反应引起的主要公共卫生挑战， 多器官功能障碍和死亡风险增加。在父母奖中，我们调查了 导致ICU患者败血症可能性增加的机制。在这 补充我们通过利用保形预测和假设检验来评估不确定性的可能原因。 我们将推导出一个新的框架，我们称之为EQUITI，它可以用来描述 由于数据偏差的影响，该模型是不确定的。此外，该补充还将 贡献劳动力和技能发展援助，建议用于提高临床医生和 医疗保健专业人员理解模型估计输出中的模糊性。最后，这些援助也将 帮助卫生专业人员更好地了解如何识别这些不确定性并用于改善 个人和团队态势感知。

Project Summary Sepsis is a major public health challenge caused by a dysfunctional host response to infection, resulting in multiple organ dysfunction and increased risk of death. In the parent award, we investigate the physiological mechanisms that contribute to increased likelihood sepsis among patients admitted to the ICU. In this supplement we evaluate possible causes of uncertainty by utilizing conformal predictions and hypothesis tests. We will derive a novel framework which we term EQUITI that can be used to characterize the degree to which the model is uncertain, due to the influence of bias in the data. Furthermore, this supplement will also contribute workforce and skills development aids that are proposed to be used to improve clinicians and healthcare professionals understanding of ambiguities in model estimated output. Finally, these aids will also help health professionals better understand how these uncertainties can be identified and used to improve individual and team situational awareness.