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Implementation of prognostic machine learning algorithms in paediatric chronic respiratory conditions: a scoping review

Authors

  • Nicole Filipow UCL Great Ormond Street Institute of Child Health, University College London, London, UK PubMed articlesGoogle scholar articles
  • Eleanor Main UCL Great Ormond Street Institute of Child Health, University College London, London, UK PubMed articlesGoogle scholar articles
  • Neil J Sebire Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UKGOSH NIHR BRC, Great Ormond Street Hospital for Children, London, UK PubMed articlesGoogle scholar articles
  • John Booth Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UKGOSH NIHR BRC, Great Ormond Street Hospital for Children, London, UK PubMed articlesGoogle scholar articles
  • Andrew M Taylor GOSH NIHR BRC, Great Ormond Street Hospital for Children, London, UKInstitute of Cardiovascular Science, University College London, London, UK PubMed articlesGoogle scholar articles
  • Gwyneth Davies Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UKGOSH NIHR BRC, Great Ormond Street Hospital for Children, London, UK PubMed articlesGoogle scholar articles
  • Sanja Stanojevic Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada PubMed articlesGoogle scholar articles
  1. Correspondence to Nicole Filipow; nicole.filipow.18{at}ucl.ac.uk
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Citation

Filipow N, Main E, Sebire NJ, et al
Implementation of prognostic machine learning algorithms in paediatric chronic respiratory conditions: a scoping review

Publication history

  • Received December 2, 2021
  • Accepted March 6, 2022
  • First published March 16, 2022.
Online issue publication 
October 18, 2023

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