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Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

J. Knoop; Wim van Lankveld; Lilian Beijer; F.J.B Geerdink; M.W. Heymans; T.J. Hoogeboom; Stijn Hoppenbrouwers; E. van Overmeeren; R Soer; C. Veenhof; K.C.P Vissers; P. J. van der Wees; Maya Sappelli; Bart Staal

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

2022AlgemeenArtikel

Reliability and responsiveness of the Observable Movement Quality scale for children with mild to moderate motor impairments

Lieke Dekkers; B.J.M. de Swart; M. Jonker; P. Erp; A. Wisman; P. J. van der Wees; M.W.G Nijhuis-vander Sanden; A.J.W.M. Janssen

2020AlgemeenArtikel

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Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

Reliability and responsiveness of the Observable Movement Quality scale for children with mild to moderate motor impairments

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