Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
Background Machine learning (ML) is an emerging tool for predicting need of end-of-life discussion and palliative care, by using mortality as a proxy. But deaths, unforeseen by emergency physicians at time of the emergency department (ED) visit, might have a weaker association with the ED visit. Objectives To develop an ML algorithm that predicts unsurprising…