Published on in Vol 10, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32724, first published .
Prediction of Physical Frailty in Orthogeriatric Patients Using Sensor Insole–Based Gait Analysis and Machine Learning Algorithms: Cross-sectional Study

Prediction of Physical Frailty in Orthogeriatric Patients Using Sensor Insole–Based Gait Analysis and Machine Learning Algorithms: Cross-sectional Study

Prediction of Physical Frailty in Orthogeriatric Patients Using Sensor Insole–Based Gait Analysis and Machine Learning Algorithms: Cross-sectional Study

Moritz Kraus   1 ;   Maximilian Michael Saller   1 , Dr rer nat ;   Sebastian Felix Baumbach   1 , Dr med ;   Carl Neuerburg   1 , Dr med, PD ;   Ulla Cordula Stumpf   1 , Dr med ;   Wolfgang Böcker   1 , Prof Dr med ;   Alexander Martin Keppler   1 , Dr med

1 Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich, Ludwig-Maximilians Universität Munich, Munich, Germany

Corresponding Author:

  • Alexander Martin Keppler, Dr med
  • Department of Orthopaedics and Trauma Surgery
  • Musculoskeletal University Center Munich
  • Ludwig-Maximilians Universität Munich
  • Marchioninistr. 15
  • Munich, 81377
  • Germany
  • Phone: 49 89-4400-0
  • Email: alexander.keppler@med.uni-muenchen.de