Abstract 8915: Unsupervised Machine Learning Clustering Identifies Low Flow-Low Gradient as High Mortality Risk Phenotypes in Transcatheter Aortic Valve Replacement Patients

Chieh-Ju Chao, Han-Lun Wu,Pradyumna Agasthi,Corbin Rayfield,Timothy Barry,Olubadewa Fatunde,Amith Reddy Seri,Mackram F. Eleid,Floyd David Fortuin,John P. Sweeney,Peter M. Pollak,Abdallah El Sabbagh,Steven J. Lester,David R. Holmes,Win Kuang Shen,Bhavik Patel,Reza Arsanjani

Circulation（2021）

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摘要

Introduction: Multiple supervised machine learning (ML) models have been used to assess the outcomes in patients who underwent transcatheter aortic valve replacement (TAVR) procedure, however, supe...

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关键词

aortic valve replacement,high mortality risk phenotypes,machine learning,flow-low

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