Predicting Patients' Vital Sign Deterioration Using Machine Learning
Accurate prediction of patient vital-sign deterioration is essential for preventing adverse clinical outcomes; however, accurate risk identification and effective early-warning mechanisms remain challenging in routine clinical practice. This study leverages data from the MIMIC-IV database to develop machine learning–ba...