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根据临床指标识别胃肠道转化风险:基于SHAP方法的机器学习预测模型

Yufen Wang1, Jian Bi2, Shunzhe Song1

  • 1Department of Digestive Endoscopy, First Affiliated Hospital of Dalian Medical University, Dalian, China.

Frontiers in pharmacology
|November 24, 2025
PubMed
概括

这项研究开发了一种使用机器学习的预测模型,以识别胃肠转化症 (GIM) 风险较高的患者,以帮助早期发现胃癌. 该模型利用血清生物标志物,并为临床使用提供了一个实用的基于Web的计算器.

关键词:
临床指标 临床指标胃肠胃肠道转化症.机器学习是机器学习.查检查 查检查 查检查 查检查血清学测试测试 血清学测试

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