| Autor: |
Hari P. Sritharan, Harrison Nguyen, Jonathan Ciofani, Ravinay Bhindi, Usaid K. Allahwala |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Frontiers in Cardiovascular Medicine, Vol 11 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2297-055X |
| DOI: |
10.3389/fcvm.2024.1454321 |
| Popis: |
BackgroundTraditional prognostic models for ST-segment elevation myocardial infarction (STEMI) have limitations in statistical methods and usability.ObjectiveWe aimed to develop a machine-learning (ML) based risk score to predict in-hospital mortality, intensive care unit (ICU) admission, and left ventricular ejection fraction less than 40% (LVEF |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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