Machine Learning-based Model To Predict Delirium In Patients With Advanced Cancer Treated With Palliative Care: A Multicenter, Patient-based Registry Cohort

A study was conducted to develop and compare machine learning models for predicting delirium in patients with advanced cancer admitted to the APCU. The study utilized a multicenter, patient-based registry cohort and identified significant features that influenced the machine learning model. The study found that a comprehensive approach using multiple machine learning models is needed for accurate prediction of delirium in these patients.