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基于机器学习的机器图谱用于血性肝硬化患者的死亡风险分层:单中心预测模型

Xing-Cheng Zhang1,2, Bo-Wen Li3, Xi-Qun Lei2

  • 1The First Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

Frontiers in medicine
|November 6, 2025
PubMed
概括

一种新的诺莫格拉姆模型有效地预测了性肝硬化患者的住院死亡率. 这种工具有助于临床决策和高风险个体的早期干预.

关键词:
拉索回归法 (Lasso Regression) 是一种回归法.肝硬化是肝硬化的一种疾病.死亡率 死亡率这个名字是名ogramogram.预测 预测 预测 预测已经有了血症.

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Glomerular filtration rate (GFR) can be estimated from serum creatinine using the modification of diet in renal disease (MDRD) formula or the chronic kidney disease–epidemiology collaboration (CKD–EPI) equation. Both methods are widely used in clinical practice to assess kidney function and guide treatment decisions.The MDRD equation does not require weight or height measurements and is normalized to the body surface area of 1.73 m², considered the average adult surface area.
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