A robust model for early detection of chronic kidney disease leveraging machine learning and data balancing techniques

Helmi Imaduddin, Siti Agrippina Alodia Yusuf, Muhammad Syahriandi Adhantoro

Open source

DOI
10.11591/eei.v15i2.11247
Published
2026-04-01
Container
Bulletin of Electrical Engineering and Informatics
Publisher
Institute of Advanced Engineering and Science
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.11591/eei.v15i2.11247,
  title = {A robust model for early detection of chronic kidney disease leveraging machine learning and data balancing techniques},
  author = {Helmi Imaduddin and Siti Agrippina Alodia Yusuf and Muhammad Syahriandi Adhantoro},
  year = {2026},
  journal = {Bulletin of Electrical Engineering and Informatics},
  doi = {10.11591/eei.v15i2.11247},
  url = {https://doi.org/10.11591/eei.v15i2.11247}
}

RIS

TY  - JOUR
TI  - A robust model for early detection of chronic kidney disease leveraging machine learning and data balancing techniques
AU  - Helmi Imaduddin
AU  - Siti Agrippina Alodia Yusuf
AU  - Muhammad Syahriandi Adhantoro
PY  - 2026
JO  - Bulletin of Electrical Engineering and Informatics
DO  - 10.11591/eei.v15i2.11247
UR  - https://doi.org/10.11591/eei.v15i2.11247
ER  - 

APA

Imaduddin, H., Yusuf, S. A. A., & Adhantoro, M. S. (2026). A robust model for early detection of chronic kidney disease leveraging machine learning and data balancing techniques. Bulletin of Electrical Engineering and Informatics. https://doi.org/10.11591/eei.v15i2.11247

Source records