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.
- DOI
- 10.2196/89242
- Published
- 2026 Aug 19
- Container
- JMIR medical informatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/89242,
title = {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.},
author = {Ryabov VV and Nesova AK and Vishnevskiy AA and Shakhgeldyan KI and Geltser BI},
year = {2026},
journal = {JMIR medical informatics},
doi = {10.2196/89242},
url = {https://doi.org/10.2196/89242}
}RIS
TY - JOUR TI - 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. AU - Ryabov VV AU - Nesova AK AU - Vishnevskiy AA AU - Shakhgeldyan KI AU - Geltser BI PY - 2026 JO - JMIR medical informatics DO - 10.2196/89242 UR - https://doi.org/10.2196/89242 ER -
APA
VV, R., AK, N., AA, V., KI, S., & BI, G. (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.. JMIR medical informatics. https://doi.org/10.2196/89242
Source records
- pubmed · retrieved 2026-09-25T12:19:33.224Z