Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79331, first published .
Predicting Geriatric Rehabilitation Stays of ≤4 Weeks After Hip Fracture Surgery: Machine Learning Approach Using Physical Activity and Patient Data

Predicting Geriatric Rehabilitation Stays of ≤4 Weeks After Hip Fracture Surgery: Machine Learning Approach Using Physical Activity and Patient Data

Predicting Geriatric Rehabilitation Stays of ≤4 Weeks After Hip Fracture Surgery: Machine Learning Approach Using Physical Activity and Patient Data

Sanne M Krakers   1, 2 , MSc ;   Frank J Wouda   1 , PhD ;   Dieuwke van Dartel   1, 3 , MSc ;   Miriam MR Vollenbroek-Hutten   1, 4 , Prof Dr ;   Johannes H Hegeman   1, 2 , MD, Prof Dr ;   Up&Go After a Hip Fracture Group   5

1 Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands

2 Department of Trauma Surgery, Ziekenhuisgroep Twente, Almelo, The Netherlands

3 Reggeborgh Research Fellow, ZGT Academy, Ziekenhuisgroep Twente, Almelo, The Netherlands

4 Board of Directors, Medisch Spectrum Twente, Enschede, The Netherlands

5 See Acknowledgements

Corresponding Author: