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Peer-reviewedCC BY-NC-NDKidney medicine

Predicting the Risk of Unplanned Hospital Encounters in Hemodialysis Patients: A Comparison Between Clinicians and a Machine Learning Prediction Algorithm

5 more authors
  1. 1Division of Nephrology, St Michael’s Hospital, Unity Health Toronto, Toronto, ON, Canada
  2. 2Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada
  3. 3Department of Medicine, Sinai Health, Toronto, ON, Canada

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BibTeX
@article{singh2026predicting,
  title = {{Predicting the Risk of Unplanned Hospital Encounters in Hemodialysis Patients: A Comparison Between Clinicians and a Machine Learning Prediction Algorithm}},
  author = {Samiksha Singh and Lesley Donovan and Meggie Debnath and Maitreyee Sidhaye and David Dai and Yang Zhu and Mitchell Hughes and Sunghoon Minn and Sanja Neskovic and Jamie Beverley and Tony Antoniou and Ivana Prce and Sebnem Kuzulugil and Michael Fralick and Derek Beaton and Muhammad Mamdani and Ron Wald},
  journal = {Kidney medicine},
  year = {2026},
  month = aug,
  url = {https://europepmc.org/article/PMC/PMC13676975},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Predicting the Risk of Unplanned Hospital Encounters in Hemodialysis Patients: A Comparison Between Clinicians and a Machine Learning Prediction Algorithm
AU  - Samiksha Singh
AU  - Lesley Donovan
AU  - Meggie Debnath
AU  - Maitreyee Sidhaye
AU  - David Dai
AU  - Yang Zhu
AU  - Mitchell Hughes
AU  - Sunghoon Minn
AU  - Sanja Neskovic
AU  - Jamie Beverley
AU  - Tony Antoniou
AU  - Ivana Prce
AU  - Sebnem Kuzulugil
AU  - Michael Fralick
AU  - Derek Beaton
AU  - Muhammad Mamdani
AU  - Ron Wald
PY  - 2026
DA  - 2026/08/13
JO  - Kidney medicine
UR  - https://europepmc.org/article/PMC/PMC13676975
SN  - 2590-0595
ER  -