Wird geladen …
Development of a machine learning model to predict the risk of late cardiogenic shock in patients with ST-segment elevation myocardial infarction
BACKGROUND: The in-hospital mortality of patients with ST-segment elevation myocardial infarction (STEMI) increases to more than 50% following a cardiogenic shock (CS) event. This study highlights the need to consider the risk of delayed calculation in developing in-hospital CS risk models. This rep...
Hauptverfasser: | , , , , , , , , , , , |
---|---|
Format: | Online Artikel Text |
Sprache: | English |
Veröffentlicht: |
AME Publishing Company
2021
|
Schlagworte: | |
Online Zugang: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350690/ https://www.ncbi.nlm.nih.gov/pubmed/34430603 http://dx.doi.org/10.21037/atm-21-2905 |