Login / Signup

Use of machine learning algorithms to predict life-threatening ventricular arrhythmia in sepsis.

Le LiZhuxin ZhangLikun ZhouZhenhao ZhangYulong XiongZhao HuYan Yao
Published in: European heart journal. Digital health (2023)
We established and validated a machine leaning-based prediction model, which was conducive to early identification of high-risk LTVA patients in sepsis, thus appropriate methods could be conducted to improve outcomes.
Keyphrases