Early identification of STEMI patients with emergency chest pain using lipidomics combined with machine learning.

Zhi Shang,Yang Liu,Yu-Yao Yuan,Xin-Yu Wang,Hai-Yi Yu,Wei Gao

Journal of geriatric cardiology : JGC（2022）

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摘要

The differentially expressed lipids were mainly DG, CAR, LPC, LPE, PC, PI, PE, and FA. Using lipid molecules selected by XGBoost combined with greedy algorithm and LASSO regression to establish model could accurately predict STEMI even in the more earlier stage.

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关键词

emergency chest pain,lipidomics,stemi patients,machine learning

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