使用LASSO回归分析开发一种风险因子名谱预测模型,用于患有急性冠状动脉综合征并发症的高血压患者

Jumin Xie1, Li Song2, Zixuan Yang2

  • 1Hubei Key Laboratory of Renal Disease Occurrence and Intervention, Medical School, Hubei Polytechnic University, Huangshi, Hubei, 435003, China. xiejumin@hbpu.edu.cn.

PubMed
概括

这项研究开发了一个名图,用于预测高血压患者急性冠状动脉综合征 (ACS) 风险. 该模型有助于临床医生在早期诊断,个性化治疗和心血管疾病管理的预后.

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