Synthetic data & the future of Women's Health: A synergistic relationship.

Journal: International journal of medical informatics
PMID: 37813078

Abstract

OBJECTIVES: The aim of this perspective is to report the use of synthetic data as a viable method in women's health given the current challenges linked to obtaining life-course data within a short period of time and accessing electronic healthcare data.

Authors

  • Gayathri Delanerolle
    University of Oxford, Oxford, UK.
  • Peter Phiri
    Southern Health NHS Foundation Trust, Southampton, UK.
  • Heitor Cavalini
    Research & Innovation Department, Southern Health NHS Foundation Trust, SO40 2RZ, Southampton, UK.
  • David Benfield
    Research & Innovation Department, Southern Health NHS Foundation Trust, SO40 2RZ, Southampton, UK; Department of Mathematics, University of Southampton, SO17 1BJ, Southampton, UK.
  • Ashish Shetty
    University College London, London, UK.
  • Yassine Bouchareb
    Department of Radiology and Molecular Imaging, College of Medicine and Health Science, Sultan Qaboos University, PO. Box 35, Al Khod, Muscat, 123, Oman. Electronic address: y.bouchareb@squ.edu.om.
  • Jian Qing Shi
    School of Mathematics, Statistics, and Physics, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK.
  • Alain Zemkoho
    Research & Innovation Department, Southern Health NHS Foundation Trust, SO40 2RZ, Southampton, UK; Department of Mathematics, University of Southampton, SO17 1BJ, Southampton, UK; Alan Turing Institute, 96 Euston Road, NW1 2DB, London, UK.

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