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Published on in Vol 28 (2026)

This is a member publication of University of Edinburgh (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/105364, first published .
Doctor explains holographic medical data to senior patient

Explainable AI to Guide the Design of Interpretable Prediction Models From High-Dimensional Data, Applied to Falls and Related Injuries in Adults Aged 50 Years or Older: Algorithm Development and Validation

Explainable AI to Guide the Design of Interpretable Prediction Models From High-Dimensional Data, Applied to Falls and Related Injuries in Adults Aged 50 Years or Older: Algorithm Development and Validation

Junyu Yan   1, 2 * , MSc ;   Damian Machlanski   1 * , PhD ;   Kurt Butler   1 , PhD ;   Panagiotis Dimitrakopoulos   1 , PhD ;   Ewen M Harrison   3 , PhD ;   Bruce Guthrie   2 , PhD ;   Sotirios A Tsaftaris   1 , PhD

1 School of Engineering, University of Edinburgh, Edinburgh, United Kingdom

2 Advanced Care Research Centre, Usher School of Population Health Sciences, University of Edinburgh, Edinburgh, United Kingdom

3 Centre for Medical Informatics, Usher School of Population Health Sciences, University of Edinburgh, Edinburgh, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Damian Machlanski, PhD
  • School of Engineering
  • University of Edinburgh
  • Usher Building
  • 5 Little France Rd
  • Edinburgh, Scotland EH16 4UX
  • United Kingdom
  • Phone: 44 7563942201
  • Email: d.machlanski@ed.ac.uk