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Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test
03 juillet 2022, Thiry, Paul; HOURY, Martin; PHILIPPE, Laurent; Nocent, Olivier; BUISSERET, Fabien; DIERICK, Frédéric; Slama, Rim; Bertucci, William; Thévenon, André; Simoneau, Emilie,
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Article scientifique
Nowadays, the better assessment of low back pain (LBP) is an important challenge, as it is
the leading musculoskeletal condition worldwide in terms of years of disability. The objective of this
study was to evaluate the relevance of various machine learning (ML) algorithms and Sample Entropy
(SampEn), which assesses the complexity of motion variability in identifying the condition of low back
pain. ...