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一种基于omics的机器学习方法来预测糖尿病的进展:RHAPSODY研究.

Roderick C Slieker1,2,3,4, Magnus Münch1, Louise A Donnelly5

  • 1Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.

Diabetologia
|February 20, 2024
PubMed
概括

通过使用临床因素和分子标记物,可以预测2型糖尿病中的胰岛素启动. 机器学习模型表明,添加蛋白质和代谢物适度地提高了更快疾病进展的预测准确性.

关键词:
机器学习是机器学习.预测模型的预测模型.一个进步的进步.2 型糖尿病 2 型糖尿病

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