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PreprintAll rights reservedmedRxiv

Validation of Machine Learning Models for classification of bladder dysfunction and risk of hydronephrosis in patients with Spina Bifida using videourodynamic data

  • J. K. Weaver1
  • J. Logan
  • J. A. Klock
  • K. Dortche
  • H. A. Bukhari
  • D. S. Buchinsky
  • M. Burns
  1. 1Cleveland Clinic Foundation
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Cite

BibTeXRIS
BibTeX
@misc{weaver2026validation,
  title = {{Validation of Machine Learning Models for classification of bladder dysfunction and risk of hydronephrosis in patients with Spina Bifida using videourodynamic data}},
  author = {J. K. Weaver and J. Logan and J. A. Klock and K. Dortche and H. A. Bukhari and D. S. Buchinsky and M. Burns},
  howpublished = {medRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.30.26364423},
  url = {https://www.medrxiv.org/content/10.64898/2026.09.30.26364423v1},
}
RIS
TY  - UNPB
TI  - Validation of Machine Learning Models for classification of bladder dysfunction and risk of hydronephrosis in patients with Spina Bifida using videourodynamic data
AU  - J. K. Weaver
AU  - J. Logan
AU  - J. A. Klock
AU  - K. Dortche
AU  - H. A. Bukhari
AU  - D. S. Buchinsky
AU  - M. Burns
PY  - 2026
DA  - 2026/09/30
PB  - medRxiv
DO  - 10.64898/2026.09.30.26364423
UR  - https://www.medrxiv.org/content/10.64898/2026.09.30.26364423v1
ER  -