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多项式机器学习通过对急性冠状动脉综合征的综合代谢分析来识别独立的生物标志物

Meijiao Fu1, Ruhua He2, Zhihan Zhang3

  • 1Ningxia Medical University, Yinchuan, 750004, Ningxia, China.

Scientific reports
|November 23, 2023
PubMed
概括

一种新的多流体代谢学方法成功地确定了一个生物标志物小组,用于分类急性冠状动脉综合征 (ACS) 亚型:健康对照组 (HC),不稳定的胸痛 (UA) 和急性心肌梗塞 (AMI). 这种代谢诊断模型 (MDM) 有助于区分这些疾病.

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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
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