Open access
Aug 2026
Machine Learning–Based Risk Prediction of In-Hospital Mortality in Patients With Non–ST-Elevation Acute Coronary Syndrome at Various Stages of the Diagnostic Process: Observational Study
ML-based models enabled accurate prediction of IHM in patients with NSTE-ACS at different stages of the diagnostic process and may improve risk stratification and clinical decision-making in real-world practice.
V. V. Ryabov, A. Nesova, A. Vishnevskiy et al.
· JMIR Medical Informatics · 0 citations