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开发和外部验证一种算法,用于自我识别1型糖尿病患者微血管并发症风险

Wei Liu1, Xiaodan Hu1, Yayu Fang1

  • 1Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.

Diabetes, obesity & metabolism
|November 25, 2024
PubMed
概括

机器学习模型可以帮助1型糖尿病 (T1D) 患者使用自我报告的数据识别微血管并发症风险. 这些工具使患者能够更早地参与医疗保健并改善结果.

关键词:
糖尿病性脏病 糖尿病脏病糖尿病周围神经病变糖尿病视网膜病变 糖尿病视网膜病变机器学习是机器学习.第1类糖尿病 1型糖尿病

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