Prediction of pediatric lower urinary tract dysfunction using uroflowmetry data and machine learning with explainable AI techniques.
- DOI
- 10.1007/s11255-026-05342-7
- Published
- 2026 Aug 18
- Container
- International urology and nephrology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11255-026-05342-7,
title = {Prediction of pediatric lower urinary tract dysfunction using uroflowmetry data and machine learning with explainable AI techniques.},
author = {Dinçel N and Büyükkeçeci M and Hekimoglu CK and Onur D and Mir S and Sofuoglu I and Ozmen D and Kirmizitas E and Cetinkaya D},
year = {2026},
journal = {International urology and nephrology},
doi = {10.1007/s11255-026-05342-7},
url = {https://doi.org/10.1007/s11255-026-05342-7}
}RIS
TY - JOUR TI - Prediction of pediatric lower urinary tract dysfunction using uroflowmetry data and machine learning with explainable AI techniques. AU - Dinçel N AU - Büyükkeçeci M AU - Hekimoglu CK AU - Onur D AU - Mir S AU - Sofuoglu I AU - Ozmen D AU - Kirmizitas E AU - Cetinkaya D PY - 2026 JO - International urology and nephrology DO - 10.1007/s11255-026-05342-7 UR - https://doi.org/10.1007/s11255-026-05342-7 ER -
APA
N, D., M, B., CK, H., D, O., S, M., I, S., D, O., E, K., & D, C. (2026). Prediction of pediatric lower urinary tract dysfunction using uroflowmetry data and machine learning with explainable AI techniques.. International urology and nephrology. https://doi.org/10.1007/s11255-026-05342-7
Source records
- pubmed · retrieved 2026-09-26T08:33:42.835Z