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A deep learning algorithm to quantify AVF stenosis and predict 6-month primary patency: a pilot study
BACKGROUND: A deep convolutional neural network (DCNN) model that predicts the degree of arteriovenous fistula (AVF) stenosis and 6-month primary patency (PP) based on AVF shunt sounds was developed, and was compared with various machine learning (ML) models trained on patients’ clinical data. METHO...
Autores principales: | Park, Jae Hyon, Yoon, Jongjin, Park, Insun, Sim, Yongsik, Kim, Soo Jin, Won, Jong Yun, Han, Kichang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972839/ https://www.ncbi.nlm.nih.gov/pubmed/36865006 http://dx.doi.org/10.1093/ckj/sfac254 |
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