使用集体机器学习模型与合成少数人过量采样技术进行稳健的糖尿病预测

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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

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Pradeepa Sampath1, Gurupriya Elangovan2, Kaaveya Ravichandran2

  • 1Department of Information Technology, School of Computing, SASTRA Deemed University, Thanjavur, 613401, Tamilnadu, India.

Scientific reports
|November 23, 2024
PubMed
概括

这项研究引入了一种先进的机器学习模型,用于准确预测糖尿病. 通过将AdaBoost和XGBoost与SMOTE平衡相结合,它可以显著改善早期检测和糖尿病管理结果.

关键词:
在 AdaBoost 中使用 AdaBoost.糖尿病患者 糖尿病患者机器学习 机器学习异常值检测异常值的检测在SMOTE中使用.在XGBoost中使用.

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