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基于机器学习的糖尿病外围神经病变的预测:模型开发和临床验证

Meng Sun1, Xingling Sun2, Fei Wang2

  • 1Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.

Frontiers in endocrinology
|June 20, 2025
PubMed
概括

在2型糖尿病 (T2DM) 中,早期预测糖尿病外围神经病变 (DPN) 是至关重要的. 机器学习模型,特别是随机梯度提升,在识别高风险患者时显示出有前途,使用糖尿病持续时间和HbA1c等关键预测指标来确定高风险患者.

关键词:
临床数据 临床数据糖尿病周围神经病变可以解释的可解释.机器学习是机器学习.风险预测模型的风险预测模型

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Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
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