PREDICTION OF CLINICAL OUTCOME IN AORTIC STENOSIS USING MACHINE LEARNING

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Journal of the American College of Cardiology
Volume	75
Issue number	11
DOIs	https://doi.org/10.1016/S0735-1097(20)32808-4
State	Published - Mar 24 2020

Disciplines

@article{8268377f613f4a54a65b4f2a09ed11f7,

title = "PREDICTION OF CLINICAL OUTCOME IN AORTIC STENOSIS USING MACHINE LEARNING",

author = "Mayooran Namasivayam and Paul Myers and John Guttag and Michael Picard and Judy Hung and Collin Stultz",

year = "2020",

month = mar,

day = "24",

doi = "10.1016/S0735-1097(20)32808-4",

language = "American English",

volume = "75",

journal = "Journal of the American College of Cardiology",

number = "11",

}

TY - JOUR

T1 - PREDICTION OF CLINICAL OUTCOME IN AORTIC STENOSIS USING MACHINE LEARNING

AU - Namasivayam, Mayooran

AU - Myers, Paul

AU - Guttag, John

AU - Picard, Michael

AU - Hung, Judy

AU - Stultz, Collin

PY - 2020/3/24

Y1 - 2020/3/24

UR - https://www.jacc.org/doi/10.1016/S0735-1097%2820%2932808-4

U2 - 10.1016/S0735-1097(20)32808-4

DO - 10.1016/S0735-1097(20)32808-4

M3 - Article

VL - 75

JO - Journal of the American College of Cardiology

JF - Journal of the American College of Cardiology

IS - 11

ER -