Predicting Major Adverse Cardiovascular Events After Cardiac Surgery Using Combined Clinical, Laboratory, and Echocardiographic Parameters: A Machine Learning Approach

<i>Background and Objectives:</i> Despite significant advances in surgical techniques and perioperative care, major adverse cardiovascular events (MACE) remain a leading cause of postoperative morbidity and mortality in patients undergoing coronary artery bypass grafting and/or aortic valve replacem...

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Principais autores:	Mladjan Golubovic, Velimir Peric, Marija Stosic, Vladimir Stojiljkovic, Sasa Zivic, Aleksandar Kamenov, Dragan Milic, Vesna Dinic, Dalibor Stojanovic, Milan Lazarevic
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-07-01
סדרה:	Medicina
נושאים:	major adverse cardiovascular events coronary artery bypass aortic valve replacement predictive modeling machine learning
גישה מקוונת:	https://www.mdpi.com/1648-9144/61/8/1323
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!