Risk stratification for mortality in cardiovascular disease survivors: A survival conditional inference tree analysis.

Journal: Nutrition, metabolism, and cardiovascular diseases : NMCD
PMID: 33223407

Abstract

BACKGROUND AND AIMS: Efficient analysis strategies for complex network with cardiovascular disease (CVD) risk stratification remain lacking. We sought to identify an optimized model to study CVD prognosis using survival conditional inference tree (SCTREE), a machine-learning method.

Authors

  • Zhijun Wu
    Department of Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhe Huang
  • Yuntao Wu
    Department of Cardiology, Kailuan Hospital, Tangshan, China.
  • Yao Jin
    Department of Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yanxiu Wang
    Department of Cardiology, Kailuan Hospital, Tangshan, China.
  • Haiyan Zhao
    Key Laboratory for Colloid and Interface Chemistry of Education Ministry, School of Chemistry and Chemical Engineering, Shandong University, 250100 Jinan, PR China.
  • Shuohua Chen
    Health Care Center, Kailuan Medical Group, Tangshan, China.
  • Shouling Wu
    Department of Cardiology, Kailuan Hospital, Tangshan, China. Electronic address: drwusl@163.com.
  • Xiang Gao
    Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.

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