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...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| 格式: | Artigo |
| 语言: | 英语 |
| 出版: |
2024
|
| 在线阅读: | https://doi.org/10.1093/eurheartj/ehad836 https://academic.oup.com/eurheartj/advance-article-pdf/doi/10.1093/eurheartj/ehad836/56150974/ehad836.pdf |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|