Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning.

Li B, Eisenberg N, Beaton D, Lee DS, Al-Omran L, Wijeysundera DN, Hussain MA, Rotstein OD, Greco E, de Mestral C, Mamdani M, Roche-Nagle G, Al-Omran M.

Open source

DOI
10.1038/s41746-025-02187-9
Published
2025-12-04
Container
NPJ Digit Med
Publisher
Not recorded
Open access
yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41746-025-02187-9,
  title = {Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning.},
  author = {Li B and  Eisenberg N and  Beaton D and  Lee DS and  Al-Omran L and  Wijeysundera DN and  Hussain MA and  Rotstein OD and  Greco E and  de Mestral C and  Mamdani M and  Roche-Nagle G and  Al-Omran M.},
  year = {2025},
  journal = {NPJ Digit Med},
  doi = {10.1038/s41746-025-02187-9},
  url = {https://doi.org/10.1038/s41746-025-02187-9}
}

RIS

TY  - JOUR
TI  - Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning.
AU  - Li B
AU  -  Eisenberg N
AU  -  Beaton D
AU  -  Lee DS
AU  -  Al-Omran L
AU  -  Wijeysundera DN
AU  -  Hussain MA
AU  -  Rotstein OD
AU  -  Greco E
AU  -  de Mestral C
AU  -  Mamdani M
AU  -  Roche-Nagle G
AU  -  Al-Omran M.
PY  - 2025
JO  - NPJ Digit Med
DO  - 10.1038/s41746-025-02187-9
UR  - https://doi.org/10.1038/s41746-025-02187-9
ER  -

APA

B, L., N, E., D, B., DS, L., L, A., DN, W., MA, H., OD, R., E, G., C, D. M., M, M., G, R., & M., A. (2025). Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning.. NPJ Digit Med. https://doi.org/10.1038/s41746-025-02187-9

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