MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD.

Yoo D, Nguyen VK, Maggiore U, Jolliet O

DOI: 10.1371/journal.pdig.0001486
Published: 2026 Jul
Container: PLOS digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pdig.0001486,
  title = {MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD.},
  author = {Yoo D and Nguyen VK and Maggiore U and Jolliet O},
  year = {2026},
  journal = {PLOS digital health},
  doi = {10.1371/journal.pdig.0001486},
  url = {https://doi.org/10.1371/journal.pdig.0001486}
}

RIS

TY  - JOUR
TI  - MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD.
AU  - Yoo D
AU  - Nguyen VK
AU  - Maggiore U
AU  - Jolliet O
PY  - 2026
JO  - PLOS digital health
DO  - 10.1371/journal.pdig.0001486
UR  - https://doi.org/10.1371/journal.pdig.0001486
ER  -

APA

D, Y., VK, N., U, M., & O, J. (2026). MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD.. PLOS digital health. https://doi.org/10.1371/journal.pdig.0001486

Source records

pubmed · retrieved 2026-11-10T19:01:16.347Z