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Updated: Feb 9, 2026

An R-Based Landscape Validation of a Competing Risk Model
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基于多变量逻辑回归的T3cDM胰腺炎患者风险模型的开发和有效性验证 - 使用动态预测工具

Xiaoyan Jia1,2, Xin Li3, Ruijia Lian4,5

  • 1Cell Research and Transformation Center, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China. jiaxy0318@126.com.

European journal of medical research
|February 7, 2026
PubMed
概括

3c型糖尿病 (T3cDM) 在胰腺炎患者中很常见. 一个新的预测模型识别了风险因素,如先前的胰腺炎,酒精使用,BMI和血液标志物,以改善T3cDM的早期检测和管理.

关键词:
目前发生率的现状.这个名字叫做Nomogram.胰腺炎是一种胰腺炎.预测模型的预测模型.3c型糖尿病是3c型糖尿病.

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