Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation

BACKGROUND: Atrial fibrillation is a paroxysmal heart disease without any obvious symptoms for most people during the onset. The electrocardiogram (ECG) at the time other than the onset of this disease is not significantly different from that of normal people, which makes it difficult to detect and...

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Detalles Bibliográficos
Autores principales: Wu, Cai, Hwang, Maxwell, Huang, Tian-Hsiang, Chen, Yen-Ming J., Chang, Yiu-Jen, Ho, Tsung-Han, Huang, Jian, Hwang, Kao-Shing, Ho, Wen-Hsien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576960/
https://www.ncbi.nlm.nih.gov/pubmed/34749631
http://dx.doi.org/10.1186/s12859-021-04000-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576960/
https://www.ncbi.nlm.nih.gov/pubmed/34749631
http://dx.doi.org/10.1186/s12859-021-04000-2

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