Machine Learning Predicts ICU In-Hospital Mortality in ARDS Patients Aged 80 and Above: A Multinational Multicenter Retrospective Study

Key Points

• To develop a machine learning model that accurately predicts ICU mortality in patients over 80 with ARDS.
• Retrospective analysis of multicenter cohort data from ICU patients.
• Development of a machine learning model for mortality prediction.
• Integration of SHAP analysis for interpreting prediction results.
• The model accurately predicts mortality in elderly ARDS patients in the ICU.
• SHAP analysis enhances the understanding of risk factors contributing to mortality.

Abstract