Personalising monitoring for chemotherapy patients through predicting deterioration in renal and hepatic function.

Journal: Cancer medicine
PMID: 37610318

Abstract

BACKGROUND: In those receiving chemotherapy, renal and hepatic dysfunction can increase the risk of toxicity and should therefore be monitored. We aimed to develop a machine learning model to identify those patients that need closer monitoring, enabling a safer and more efficient service.

Authors

  • Pinkie Chambers
    Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
  • Matthew Watson
    Department of Computer Science, Durham University, Durham, UK.
  • John Bridgewater
    Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
  • Martin D Forster
    Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
  • Rebecca Roylance
    Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
  • Rebecca Burgoyne
    Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
  • Sebastian Masento
    Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
  • Luke Steventon
    Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
  • James Harmsworth King
    Evergreen Life Ltd, Manchester, UK.
  • Nick Duncan
    University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Noura Al Moubayed
    Department of Computer Science, Durham University, Durham, UK.

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