Trentzsch, K.; Schumann, P.; Śliwiński, G.; Bartscht, P.; Haase, R.; Schriefer, D.; Zink, A.; Heinke, A.; Jochim, T.; Malberg, H.;
et al. Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis. Brain Sci. 2021, 11, 1049.
https://doi.org/10.3390/brainsci11081049
AMA Style
Trentzsch K, Schumann P, Śliwiński G, Bartscht P, Haase R, Schriefer D, Zink A, Heinke A, Jochim T, Malberg H,
et al. Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis. Brain Sciences. 2021; 11(8):1049.
https://doi.org/10.3390/brainsci11081049
Chicago/Turabian Style
Trentzsch, Katrin, Paula Schumann, Grzegorz Śliwiński, Paul Bartscht, Rocco Haase, Dirk Schriefer, Andreas Zink, Andreas Heinke, Thurid Jochim, Hagen Malberg,
and et al. 2021. "Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis" Brain Sciences 11, no. 8: 1049.
https://doi.org/10.3390/brainsci11081049
APA Style
Trentzsch, K., Schumann, P., Śliwiński, G., Bartscht, P., Haase, R., Schriefer, D., Zink, A., Heinke, A., Jochim, T., Malberg, H., & Ziemssen, T.
(2021). Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis. Brain Sciences, 11(8), 1049.
https://doi.org/10.3390/brainsci11081049