A Knowledge Graph-Driven Dietary Recommendation App for Chronic Kidney Disease: Development and Preliminary Accuracy Validation.

Yan Y, Duan DF, Ma DY, Huang KD, Gong S

Open source

DOI
10.1111/jocn.70489
Published
2026 Sep 24
Container
Journal of clinical nursing
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 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:10.1111/jocn.70489,
  title = {A Knowledge Graph-Driven Dietary Recommendation App for Chronic Kidney Disease: Development and Preliminary Accuracy Validation.},
  author = {Yan Y and Duan DF and Ma DY and Huang KD and Gong S},
  year = {2026},
  journal = {Journal of clinical nursing},
  doi = {10.1111/jocn.70489},
  url = {https://doi.org/10.1111/jocn.70489}
}

RIS

TY  - JOUR
TI  - A Knowledge Graph-Driven Dietary Recommendation App for Chronic Kidney Disease: Development and Preliminary Accuracy Validation.
AU  - Yan Y
AU  - Duan DF
AU  - Ma DY
AU  - Huang KD
AU  - Gong S
PY  - 2026
JO  - Journal of clinical nursing
DO  - 10.1111/jocn.70489
UR  - https://doi.org/10.1111/jocn.70489
ER  - 

APA

Y, Y., DF, D., DY, M., KD, H., & S, G. (2026). A Knowledge Graph-Driven Dietary Recommendation App for Chronic Kidney Disease: Development and Preliminary Accuracy Validation.. Journal of clinical nursing. https://doi.org/10.1111/jocn.70489

Source records