Key result
Machine learning models using the STS database predicted recurrent mitral regurgitation or death at 1 year following mitral valve repair with an area under the curve of 0.72-0.75.
Effect estimate: AUC 0.72-0.75
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Machine learning models applied to routinely collected clinical parameters can predict recurrent mitral regurgitation or death at 1 year following mitral valve repair for ischemic MR with good accuracy.
Nedadur et al. (2021) conducted an editorial in Ischemic mitral regurgitation. Machine learning models was evaluated on Recurrent MR or death at 1 year (AUC 0.72-0.75). Machine learning models using the STS database predicted recurrent mitral regurgitation or death at 1 year following mitral valve repair with an area under the curve of 0.72-0.75.
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