Author

K. S. Shakhgeldyan

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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

Review Open access Jul 2026

Analysis of accuracy of risk assessment tools for predicting new-onset atrial fibrillation in ST-elevation myocardial nfarction with percutaneous coronaty intervention (a systematic review)

The occurrence of NOAF was associated with increased in-hospital mortality, which was 2–3 times higher in patients with arrhythmia, and most NOAF prediction models developed specifically in STEMI cohorts undergoing PCI demonstrated higher discriminative ability.

R. L. Pak, B. I. Geltser, E. Kokarev et al. · Siberian Journal of Clinical... · 0 citations