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基于机器学习的血代谢概况,用于预测肝硬化的长期并发症

Chengnan Guo1,2, Zhenqiu Liu3,4, Hong Fan2,4

  • 1Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.

Hepatology (Baltimore, Md.)
|April 17, 2024
PubMed
概括

一个新的血代谢评分工具准确地预测肝硬化并发症,优于现有的风险评分. 这使得个性化肝病管理的早期风险分层成为可能.

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In clinical practice, the direct measurement of hepatic blood flow to evaluate liver function presents significant challenges due to the intricate and specialized nature of the necessary techniques. Consequently, healthcare professionals often rely on empirical estimates derived from thorough patient examinations and liver function tests to gauge liver health. Among the tools at their disposal, the Child–Pugh and MELD scoring systems stand out for their ability to categorize and assess the...