Deep Learning in Prediction of Late Major Bleeding After Transcatheter Aortic Valve Replacement

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【作者】Jia, Yuheng，Luosang, Gaden，Li, Yiming，Wang, Jianyong，Li, Pengyu，Xiong, Tianyuan，Li, Yijian，Liao, Yanbiao，Zhao, Zhengang，Peng, Yong，Feng, Yuan，Jiang, Weili，Li, Wenjian，Zhang, Xinpei，Yi, Zhang，Chen, Mao
【作者单位】¹ Sichuan Univ, West China Hosp, Dept Cardiol, 37 Guoxue St, Chengdu 610041, Sichuan, Peoples R China. ;² Sichuan Univ, Coll Comp Sci, Machine Intelligence Lab, Chengdu 610065, Sichuan, Peoples R China. ;³ Tibet Univ, Dept Informat Sci & Technol, Lhasa City, Peoples R China. ;⁴ Sichuan Univ, West China Med Sch, Chengdu, Sichuan, Peoples R China.
【年份】2022
【卷号】Vol.14
【页码】9-20
【ISSN】1179-1349
【关键词】RISK MORTALITY IMPACT IMPLANTATION MODELS SCORE
【摘要】 Purpose: Late major bleeding is one of the main complications after transcatheter aortic valve replacement . We aimed to develop a risk prediction model based on deep learning to predict major or life-threatening bleeding complications after TAVR. P...
【文献类型】期刊