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

项目摘要 败血症是一种主要的公共卫生挑战，由宿主对感染的功能障碍引起，导致 多器官功能障碍和死亡风险增加。在家长奖中，我们调查了生理上的 导致ICU患者败血症可能性增加的机制。在这 作为补充，我们利用共形预测和假设检验来评估不确定性的可能原因。 我们将得出一个新的框架，我们称之为EQUITI，它可以用来表征 由于数据偏差的影响，模型是不确定的。此外，这份副刊还将 贡献劳动力和技能发展辅助工具，建议用于改善临床医生和 医疗保健专业人员了解模型估计产出中的模糊性。最后，这些艾滋病人还将 帮助卫生专业人员更好地了解如何识别这些不确定性并将其用于改进 个人和团队的情境意识。

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.