Role for machine learning in sex-specific prediction of successful electrical cardioversion in atrial fibrillation?
Nicklas VinterAnne Sofie FrederiksenAndi Eie AlbertsenGregory Y H LipMorten Fenger-GrønLudovic TrinquartLars FrostDorthe Svenstrup MøllerPublished in: Open heart (2020)
Sex-specific machine learning and logistic regression models showed modest predictive performance for successful electrical cardioversion. Identifying patients who will benefit from cardioversion remains challenging in clinical practice. The high recurrence rate calls for thoroughly informed shared decision-making for electrical cardioversion.