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Updated: Sep 17, 2025

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
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一个负责任的框架来评估,选择和解释机器学习模型在心血管疾病的结果在2型糖尿病患者中:方法和验证研究

Yang Yang1, Che-Yi Liao1, Esmaeil Keyvanshokooh2

  • 1H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, 765 Ferst Dr NW, Atlanta, GA, 30332-0001, United States, 1 404-385-3140.

JMIR medical informatics
|June 27, 2025
PubMed
概括

本研究引入了三阶段机器学习框架,以开发可靠的临床模型. 该GLMnet模型平衡了2型糖尿病患者心血管疾病风险预测的预测准确性和公平性.

关键词:
在这里,我们可以看到MI MI MI MI MI.这就是T2D.心脏病学心脏病学心脏病学心血管疾病的心血管疾病心血管疾病心血管疾病临床实践中的临床实践糖尿病 糖尿病患者 糖尿病患者可以解释性的解释性.公平的公平的公平.可以解释的机器学习.机器学习是机器学习.心肌梗塞的心脏病发作预测 预测 预测 预测负责的框架 负责的框架一次性中风中风中风中风中风2 型糖尿病 2 型糖尿病

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