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Updated: Jan 29, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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整合贝叶斯推理和机器学习来评估TAP和素-2作为急性胰腺炎系统性炎症的早期生物标志物

Alina Calin Frij1,2, Cristian Velicescu1,2, Andrei Andone1

  • 1Department of Surgery, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania.

Medicina (Kaunas, Lithuania)
|January 28, 2026
PubMed
概括

早期尿素-2显示为预测急性胰腺炎严重程度的生物标志物具有前途. 这项研究确定了不同的患者表型和改善炎症负担评估的潜力.

关键词:
贝叶斯分析是贝叶斯分析.早期炎症预测和预测机器学习是机器学习.蛋白质溶解生物标志物蛋白质溶解生物标志物试素-2的使用方法试素激活 (TAP) 是一种激活.

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