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Updated: Sep 16, 2025

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
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开发一种多标签的学习模型,以预测不稳定胸痛患者的主要心血管不良事件:一项前性队列研究

Jing Li1, Hong Yang1, Yu Zhang1

  • 1Department of Health Statistics, School of Public Health, Shanxi Medical University, Jinzhong 030600, China; Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Jinzhong 030600, China.

International journal of medical informatics
|July 8, 2025
PubMed
概括

在不稳定的胸痛 (UAP) 患者中预测主要不良心血管事件 (MACE) 是复杂的. 多标签学习,特别是随机森林的RAKEL模型,改善了MACE的预测准确性,帮助个性化治疗策略.

关键词:
主要的不良心血管事件.多标签学习多标签学习不稳定的胸痛是什么?

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