Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data

Background: Up to 30–50% of chronic heart failure patients who underwent cardiac resynchronization therapy (CRT) do not respond to the treatment. Therefore, patient stratification for CRT and optimization of CRT device settings remain a challenge. Objective: The main goal of our study is to develop...

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Detalles Bibliográficos
Autores principales: Khamzin, Svyatoslav, Dokuchaev, Arsenii, Bazhutina, Anastasia, Chumarnaya, Tatiana, Zubarev, Stepan, Lyubimtseva, Tamara, Lebedeva, Viktoria, Lebedev, Dmitry, Gurev, Viatcheslav, Solovyova, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712879/
https://www.ncbi.nlm.nih.gov/pubmed/34970154
http://dx.doi.org/10.3389/fphys.2021.753282

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712879/
https://www.ncbi.nlm.nih.gov/pubmed/34970154
http://dx.doi.org/10.3389/fphys.2021.753282

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