诊断 预测慢性肝硬化患者的门静脉血栓,使用数据驱动的精准医学模型

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Updated: Jul 25, 2026

Invasive Hemodynamic Characterization of the Portal-hypertensive Syndrome in Cirrhotic Rats
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Invasive Hemodynamic Characterization of the Portal-hypertensive Syndrome in Cirrhotic Rats

Published on: August 1, 2018

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Ying Li1, Jing Gao2, Xubin Zheng3

  • 1The First Hospital of Lanzhou University, Lanzhou, China.

Briefings in bioinformatics
|January 15, 2024
PubMed
概括

这项研究开发了一种基于数据的模型,用于诊断肝硬化患者的门静脉血栓症 (PVT). SVM-Naïve Bayes-QDA模型准确地识别PVT,改善慢性肝病的临床决策.

关键词:
慢性肝硬化的患者.数据驱动的精准医学模型诊断预测 预测 诊断 预测机器学习是机器学习.门静脉血栓塞的发生

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