Merging machine learning and patient preference: a novel tool for risk prediction of percutaneous coronary interventions
Abstract Background and Aims Predicting personalized risk for adverse events following percutaneous coronary intervention (PCI) remains critical in weighing treatment options, employing risk mitigation strategies, and enhancing shared decision-making. This study aimed to employ machine learning mode...
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| Главные авторы: | , , , , , , , |
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| Формат: | Artigo |
| Язык: | английский |
| Опубликовано: |
2024
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| Online-ссылка: | https://doi.org/10.1093/eurheartj/ehad836 https://academic.oup.com/eurheartj/advance-article-pdf/doi/10.1093/eurheartj/ehad836/56150974/ehad836.pdf |
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