Using machine learning to aid treatment decision and risk assessment for severe three-vessel coronary artery disease

Liu, J; Feng, XX; Duan, YF; Liu, JH; Zhang, C; Jiang, L; Xu, LJ; Tian, J; Zhao, XY; Zhang, Y; Sun, K; Xu, B; Zhao, W; Hui, RT; Gao, RL; Wang, JZ; Yuan, JQ; Huang, X; Song, L

Song, L (通讯作者),Chinese Acad Med Sci & Peking Union Med Coll, Fuwai Hosp, Natl Ctr Cardiovasc Dis, State Key Lab Cardiovasc Dis, Beijing, Peoples R China.;Huang, X (通讯作者),Chinese Acad Med Sci, Fuwai Hosp, Dept Endocrinol, Shenzhen, Peoples R China.;Yuan, JQ (通讯作者),Chinese Acad Med Sci & Peking Union Med Coll, Fuwai Hosp, Dept Cardiol, Natl Ctr Cardiovasc Dis, Beijing, Peoples R China.;Song, L (通讯作者),Chinese Acad Med Sci & Peking Union Med Coll, Fuwai Hosp, Natl Ctr Cardiovasc Dis, Cardiomyopathy

JOURNAL OF GERIATRIC CARDIOLOGY, 2022; 19 (5): 367

Abstract

BACKGROUND Three-vessel disease (TVD) with a SYNergy between PCI with TAXus and cardiac surgery (SYNTAX) score of >= 23 is one of the most severe t......

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