Clinical Assessments in Death Event Prediction
death
EVENTS
As our explainable AI models have shown, clinical assessment features play a role in predicting death events. Among the models with a good performance, we found that a sign of reduced urine output, poor appetite, and deteriorating clinical care phase suspected by the clinical caregiver were ranked as high-impact features.To further investigate the impacts, we reran the models using only wearable device parameters, sex, and age as input features. This resulted in lower precision and recall in predicting events while maintaining fair specificity, as shown in 