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Updated: Jan 18, 2026

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可解释的机器学习有助于揭示多睡眠生物标志物与男性发生2型糖尿病之间的关联

Duc Phuc Nguyen1, Peter Catcheside1, Bastien Lechat1

  • 1Flinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, 5042, Australia.

Nature and science of sleep
|September 8, 2025
PubMed
概括

可解释的机器学习发现了用于预测2型糖尿病 (T2D) 的新型睡眠生物标志物. 非仰卧睡眠期间脱事件的数量成为一个重要的预测指标,有助于个性化风险评估.

关键词:
可以解释的机器学习阻塞性睡眠呼吸暂停 睡眠暂停聚索姆诺基生物标记物.2 型糖尿病 2 型糖尿病

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