Order Article Reprints

Schumann P, Scholz M, Trentzsch K, Jochim T, Śliwiński G, Malberg H, Ziemssen T. Detection of Fall Risk in Multiple Sclerosis by Gait Analysis—An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms. Brain Sciences. 2022; 12(11):1477. https://doi.org/10.3390/brainsci12111477

Schumann, Paula, Maria Scholz, Katrin Trentzsch, Thurid Jochim, Grzegorz Śliwiński, Hagen Malberg, and Tjalf Ziemssen. 2022. "Detection of Fall Risk in Multiple Sclerosis by Gait Analysis—An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms" Brain Sciences 12, no. 11: 1477. https://doi.org/10.3390/brainsci12111477

Schumann, P., Scholz, M., Trentzsch, K., Jochim, T., Śliwiński, G., Malberg, H., & Ziemssen, T. (2022). Detection of Fall Risk in Multiple Sclerosis by Gait Analysis—An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms. Brain Sciences, 12(11), 1477. https://doi.org/10.3390/brainsci12111477