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Updated: Jan 28, 2026

In Silico Clinical Trials for Cardiovascular Disease
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评论 雅科贝斯库等人. 评估心血管疾病预测的二进制分类器:提高早期诊断能力. 一个叫J.J.的小孩. 心血管. 心血管. 德夫. 德夫. 德夫. 德夫. 德夫. 德夫. 2024年12月11日,第396期 在线观看

Mohamed Eltawil1, Laura Byham-Gray2, Yuane Jia3

  • 1Department of Health Informatics, School of Health Professions, Rutgers University, Newark, NJ 07107, USA.

Journal of cardiovascular development and disease
|January 27, 2026
PubMed
概括

对于心脏病预测的机器学习模型可能会因为数据泄露而导致误导. 适当的验证技术对于准确的心血管疾病 (CVD) 风险评估至关重要.

关键词:
这就是SMOTE-ENNN.心血管疾病心血管疾病阶级不平衡 阶级不平衡数据泄露数据泄露k-最近的邻居 (kNN)机器学习是机器学习.医疗人工智能医学人工智能模型验证模型验证绩效评价 绩效评价 绩效评价 绩效评价 绩效评价可复制性的可复制性

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