Machine Learning prediction of cardiac resynchronisation therapy response from combination of clinical and model-driven data
S. Khamzin, A. Dokuchaev, A. Bazhutina, T. Chumarnaya, S. Zubarev, T. Lyubimtseva, V. Lebedeva, D. Lebedev, V. Gurev, O. Solovyova
This study develops a machine learning model to predict cardiac resynchronization therapy (CRT) response by combining clinical data with model-driven biomarkers from personalized cardiac simulations.
Frontiers in Physiology · Dec 14, 2021Peer-reviewedPhysiology