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Updated: Jan 13, 2026

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
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在临床环境中部署机器学习模型:对一种模型的现实可行性分析,用于识别最初被归类为2型的成人发病1型糖尿病

Irene Brusini1, Suyin Lee2, Jacob Hollingsworth2

  • 1AI for Healthcare & MedTech, IQVIA, London W2 1AF, United Kingdom.

JAMIA open
|October 29, 2025
PubMed
概括

这项研究表明,机器学习 (ML) 模型可以识别成人发病型1型糖尿病 (T1D),在电子病历 (EMR) 中被错误分类为2型. 定位ML模型提高了患者查的准确性,证明了现实世界健康信息交换 (HIE) 数据的可行性.

关键词:
卫生信息交换健康信息交换临床决策支持系统临床决策支持系统电子健康记录是电子健康记录.机器学习是机器学习.第1类糖尿病 糖类糖尿病

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