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预测抗糖尿病活性:对1型和2型糖尿病的机器学习视角

Kaida Cai1,2,3, Zhe Zhang2, Wenzhou Zhu2

  • 1Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.

International journal of molecular sciences
|September 28, 2024
PubMed
概括

机器学习有效地分类抗糖尿病,区分1型 (T1DM) 和2型 (T2DM) 糖尿病治疗. 适应性提升 (AdaBoost) 在这个分类任务中表现出卓越的性能.

关键词:
抗糖尿病类的抗糖尿病.这是分类分类的分类.糖尿病 糖尿病患者 糖尿病患者功能选择 功能选择机器学习是机器学习.

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