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

项目总结

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.