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The prototype device for non-invasive diagnosis of arteriovenous fistula condition using machine learning methods
Pattern recognition and automatic decision support methods provide significant advantages in the area of health protection. The aim of this work is to develop a low-cost tool for monitoring arteriovenous fistula (AVF) with the use of phono-angiography method. This article presents a developed and di...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532193/ https://www.ncbi.nlm.nih.gov/pubmed/33009417 http://dx.doi.org/10.1038/s41598-020-72336-5 |