Samadi, B., Raison, M., Mahaudens, P., Detrembleur, C., & Achiche, S. (2023). A preliminary study in classification of the severity of spine deformation in adolescents with lumbar/thoracolumbar idiopathic scoliosis using machine learning algorithms based on lumbosacral joint efforts during gait. Computer methods in biomechanics and biomedical engineering, 26(11), 1341-1352. https://doi.org/10.1080/10255842.2022.2117547
Chicago-Zitierstil (17. Ausg.)Samadi, Bahare, Maxime Raison, Philippe Mahaudens, Christine Detrembleur, und Sofiane Achiche. "A Preliminary Study in Classification of the Severity of Spine Deformation in Adolescents with Lumbar/thoracolumbar Idiopathic Scoliosis Using Machine Learning Algorithms Based on Lumbosacral Joint Efforts During Gait." Computer Methods in Biomechanics and Biomedical Engineering 26, no. 11 (2023): 1341-1352. https://doi.org/10.1080/10255842.2022.2117547.
MLA-Zitierstil (9. Ausg.)Samadi, Bahare, et al. "A Preliminary Study in Classification of the Severity of Spine Deformation in Adolescents with Lumbar/thoracolumbar Idiopathic Scoliosis Using Machine Learning Algorithms Based on Lumbosacral Joint Efforts During Gait." Computer Methods in Biomechanics and Biomedical Engineering, vol. 26, no. 11, 2023, pp. 1341-1352, https://doi.org/10.1080/10255842.2022.2117547.