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在2型糖尿病患者中预测模型和外周血管疾病的风险分析,使用机器学习和Shapley的附加解释

Lianhua Liu1, Bo Bi1, Li Cao1

  • 1International School of Public Health and One Health, Hainan Medical University, Haikou, Hainan, China.

Frontiers in endocrinology
|March 14, 2024
PubMed
概括

机器学习准确地预测了2型糖尿病患者的外周血管疾病 (PVD) 风险. 关键预测因素包括血红蛋白,年龄,总胆汁酸和脂蛋白.

关键词:
机器学习是机器学习.周围血管疾病是周围血管疾病.预测模型是一个预测模型.风险因素的风险因素是什么莎普利添加剂的解释解释2型糖尿病是什么?

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