Physiological Deterioration Scoring and Mortality Risk Stratification: Machine Learning Models for Early Outcome Prediction in Critical Care Settings
Keywords:
physiological deterioration scoring, mortality risk stratification, machine learning models, early outcome predictionAbstract
In recent years, there has been a growing body of work on applications of machine learning models in both the critical care unit and emergency department. It is well established that AI can provide insights beyond traditional mortality prediction tools, such as illness severity stratification, estimation of the impact of acute changes, early warning of sepsis and delirium, and end-of-life care strain, as well as novel ways of understanding the determinants of length of stay in an ICU setting.Downloads
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