Natural language word embeddings as a glimpse into healthcare language and associated mortality surrounding end of life.

Journal: BMJ health & care informatics
Published Date: Oct 1, 2021

Abstract

OBJECTIVES: To clarify real-world linguistic nuances around dying in hospital as well as inaccuracy in individual-level prognostication to support advance care planning and personalised discussions on limitation of life sustaining treatment (LST).

Authors

  • Ivan Shun Lau
    Kings College Hospital, King's College Hospital NHS Foundation Trust, London, UK.
  • Zeljko Kraljevic
    Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Mohammad Al-Agil
    Kings College Hospital, King's College Hospital NHS Foundation Trust, London, UK.
  • Shelley Charing
    Patients, (Private Individuals), London, UK.
  • Alan Quarterman
    Patients, (Private Individuals), London, UK.
  • Harold Parkes
    Patients, (Private Individuals), London, UK.
  • Victoria Metaxa
    Kings College Hospital, King's College Hospital NHS Foundation Trust, London, UK.
  • Katherine Sleeman
    Department of Palliative Care, Policy and Rehabilitation, King's College London, London, UK.
  • Wei Gao
    Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.
  • Richard J B Dobson
    Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, UK.
  • James T Teo
    Department of Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Neurology, King's College Hospital NHS Foundation Trust, London, UK.
  • Phil Hopkins
    Intensive Care Medicine, Anaesthesia and Trauma, King's College Hospital NHS Foundation Trust, London, UK.

Keywords

External Resources

Popular Topics
Recent Journals