Applied machine learning to predict 1-year major adverse cardiovascular events in elderly patients after percutaneous coronary intervention

Abstract Background Cardiovascular diseases remain the leading cause of mortality worldwide, with elderly patients experiencing the worst prognosis following ST-elevation myocardial infarction (STEMI). Traditional risk stratification models demonstrate suboptimal performance in geriatric patients du...

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Autors principals:	Amir Ghaffari Jolfayi, Amir Nasrollahizadeh, Ali Nasrollahizadeh, Homayoun Pishraft-Sabet, Amir Azimi, Yaser Jenab, Mehdi Mehrani, Kaveh Hosseini, Hamidreza Soleimani
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-10-01
Col·lecció:	BMC Medical Informatics and Decision Making
Matèries:	Machine learning Major adverse cardiovascular events Percutaneous coronary intervention Myocardial infarction Elderly
Accés en línia:	https://doi.org/10.1186/s12911-025-03238-7
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