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Updated: Jan 29, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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评估与药物相关的玻璃性不透明的真实世界数据库评估和用于临床解释性的机器学习

Wenying Guan1,2,3,4, Shi-Nan Wu1,2,3,4, Ke Feng1,2,3,4

  • 1Xiamen University Affiliated Xiamen Eye Center, School of Medicine, Xiamen University, Xiamen, Fujian, China.

Frontiers in cell and developmental biology
|January 28, 2026
PubMed
概括

这项研究使用现实世界的数据确定了38种与玻璃性不透明度 (VO) 和浮体相关的药物. 德克萨米他松,布罗卢齐祖马布和激素药物是风险最高的药物之一,发病时间各不相同.

关键词:
美国食品和药物管理局不良事件报告系统药物诱导时间 药物诱导时间药物诱导的风险 药物诱导的风险机器学习是机器学习.玻璃状的不透明性

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