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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

Hoogeboom, T.J. (Thomas) (Phd); Lankveld, W. (Wim) van (Phd); Knoop, J (Jesper) (Phd); Hoppenbrouwers, S. (Stijn) (Phd); Heymans, M.W. (M.) (Phd); Overmeeren, E. (Elon) van (Extern); Veenhof, C. (Cindy) (Lector); Sappelli, M. (Maja) (Onderzoeker); Wees, P.J. (Philip) van der (Professor); Soer, (Remko) (Associate Lector); Beijer, ( Lilian) (Extern); Geerdink, (Frank) (Onderzoeker); Vissers, (Kris) (Extern); Staal, (Bart) (Extern); Mittendorff, ( Kariene ) (Associate Lector); Holkenborg, (Kris)

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 …

2022-09-01AlgemeenArtikel

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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

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