Standard monitoring of patients on surgical wards can lead to delays in recognition of changes in health status and subsequent risk. Here, the authors develop and validate a multi-modal machine learning-based framework using vitals monitored continuously with wearables to predict clinical inpatient deterioration alerts.
- Michael R. Scheid
- Beth Friedmann
- Theodoros P. Zanos
