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Updated: Feb 14, 2026

An R-Based Landscape Validation of a Competing Risk Model
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建立和验证基于现实世界大数据和多策略分区算法的血清费里丁参考区间

Yixin Xu1,2,3, Xiaojuan Wu1,2, Junlong Zhang1,2,3

  • 1Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.

Journal of clinical medicine
|February 13, 2026
PubMed
概括

这项研究在当地人群中建立了新的,准确的血清费里 (SF) 参考间隔,提高了诊断精度. 以性别和年龄为特征的衍生间隔显著超过了制造商提供的范围.

关键词:
哈里斯-博伊德方法决策树是一个决策树.间接方法是间接的方法.参考时间间隔的参考时间间隔.血清费里氨酸的使用情况

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