Icu Mortality

The ICU Mortality task aims to predict a patient's risk of dying during their stay in the intensive care unit (ICU) by analyzing electronic health records (EHR) from the early stages of hospital admission. This task leverages advanced data analysis and machine learning techniques to comprehensively evaluate multi-dimensional data, including physiological parameters, medical history, and treatment measures, thereby enhancing the accuracy and reliability of predictions. The prediction outcomes help medical teams to promptly implement interventions, optimize resource allocation, and improve survival rates and healthcare quality for critically ill patients.