Detection of Fall Risk in Multiple Sclerosis by Gait Analysis-An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms

Publication Year: 2022

Journal: Brain Sciences

Author(s): Paula Schumann; Maria Scholz; Katrin Trentzsch; Thurid Jochim; Grzegorz Sliwinski; Tjalf Ziemssen

Source: https://doi.org/10.3390/brainsci12111477

Indication: Multiple Sclerosis

Therapeutic Area: Neuroscience

Keywords: MS; Fall risk; Gait; Machine learning; Feature selection ensemble

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