By Associate Professor Kim van Schooten

Preprints

Zheng X; Zeng Z; S van Schooten K; Yang Y, 2025, Machine Learning Approach for Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity: Model Development and Validation Study (Preprint), http://dx.doi.org/10.2196/preprints.77140

Al Abiad N; van Schooten K; Renaudin V; Delbaere K; Robert T, 2023, Association of prospective falls in older people with ubiquitous step-based fall risk parameters calculated from ambulatory inertial signals: retrospective observational data analysis study (Preprint), http://dx.doi.org/10.2196/preprints.49587

Zhang Y; Weijer RHA; van Schooten KS; Bruijn SM; Pijnappels M, 2022, External validation and further exploration of fall prediction models based on questionnaires and daily-life trunk accelerometry, http://dx.doi.org/10.1101/2022.09.26.509506

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