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This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (2218) Machine Learning (3147) Cardiac Risk and Cardiac Risk Calculators (169) Computer-Aided Diagnosis (419) Cardiac Diagnostics (60) Applications of AI (946)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89242, first published .
Woman wearing a mask with chest pain, doctor with stethoscope offers comfort.

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

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

Authors of this article:

Vyacheslav V Ryabov1, 2 Author Orcid Image ;   Anastasiia K Nesova1 Author Orcid Image ;   Andrey A Vishnevskiy3 Author Orcid Image ;   Karina I Shakhgeldyan3, 4 Author Orcid Image ;   Boris I Geltser3, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Vyacheslav V Ryabov   1, 2 * , MD, DSc ;   Anastasiia K Nesova   1 * , PhD ;   Andrey A Vishnevskiy   3 * , MSc ;   Karina I Shakhgeldyan   3, 4 * , DSc ;   Boris I Geltser   3, 4 * , MD, DSc

1 Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Tomsk Oblast, Russian Federation

2 Department of Cardiology, Siberian State Medical University, Tomsk, Tomsk Oblast, Russian Federation

3 Vladivostok State University, Vladivostok, Primorye, Russian Federation

4 School of Medicine and Life Science Far Eastern Federal University, Vladivostok, Primorye, Russian Federation

*all authors contributed equally

Corresponding Author:

  • Anastasiia K Nesova, PhD
  • Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences
  • 111a Kievskya Street, 634012 Tomsk, Russian Federation
  • Tomsk, Tomsk Oblast
  • Russian Federation
  • Phone: 7 923-602-5410
  • Email: nesova1996@yandex.ru