A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity - Sengupta, Partho P.; Shrestha, Sirish; Kagiyama, Nobuyuki; Hamirani, Yasmin; Kulkarni, Hemant; Yanamala, Naveena; Bing, Rong; Chin, Calvin W.L.; Pawade, Tania A.; Messika-Zeitoun, David; Tastet, Lionel; Shen, Mylène; et al. (JACC. Cardiovascular imaging, 2021)
Keywords: aortic stenosis; Aortic Valve - diagnostic imaging; Aortic Valve - surgery; Aortic Valve Stenosis - diagnostic imaging; Aortic Valve Stenosis - surgery; Heart Valve Prosthesis Implantation; Humans; Machine Learning; Phenotype; Predictive Value of Tests; Severity of Illness Index; topological data analysis; NRI; ECHO; topological data analysis; LS; CMR; LV; HS; LGE; machine learning; IDI; TDA; CT; AS; aortic stenosis; AVR