An explainable machine learning framework for cross-dataset chronic kidney disease risk prediction using hybrid data balancing

Jarin Tasnim Mumu, Ismail Hossain, Kazi Md. Tanvir Anzum

Open source

DOI: 10.1371/journal.pone.0362320
Published: 2026-11-05
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0362320,
  title = {An explainable machine learning framework for cross-dataset chronic kidney disease risk prediction using hybrid data balancing},
  author = {Jarin Tasnim Mumu and Ismail Hossain and Kazi Md. Tanvir Anzum},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0362320},
  url = {https://doi.org/10.1371/journal.pone.0362320}
}

RIS

TY  - JOUR
TI  - An explainable machine learning framework for cross-dataset chronic kidney disease risk prediction using hybrid data balancing
AU  - Jarin Tasnim Mumu
AU  - Ismail Hossain
AU  - Kazi Md. Tanvir Anzum
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0362320
UR  - https://doi.org/10.1371/journal.pone.0362320
ER  -

APA

Mumu, J. T., Hossain, I., & Anzum, K. M. T. (2026). An explainable machine learning framework for cross-dataset chronic kidney disease risk prediction using hybrid data balancing. PLOS One. https://doi.org/10.1371/journal.pone.0362320

Source records

crossref · retrieved 2026-11-07T20:49:36.571Z