Explainable machine learning model reveals its decision-making process in identifying patients with paroxysmal atrial fibrillation at high risk for recurrence after catheter ablation

BACKGROUND: A number of models have been reported for predicting atrial fibrillation (AF) recurrence after catheter ablation. Although many machine learning (ML) models were developed among them, black-box effect existed widely. It was always difficult to explain how variables affect model output. W...

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Detalles Bibliográficos
Autores principales: Ma, Yibo, Zhang, Dong, Xu, Jian, Pang, Huani, Hu, Miaoyang, Li, Jie, Zhou, Shiqiang, Guo, Lanyan, Yi, Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936738/
https://www.ncbi.nlm.nih.gov/pubmed/36803424
http://dx.doi.org/10.1186/s12872-023-03087-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936738/
https://www.ncbi.nlm.nih.gov/pubmed/36803424
http://dx.doi.org/10.1186/s12872-023-03087-0

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