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Using machine learning algorithms for identifying gait parameters suitable to evaluate subtle changes in gait in people with multiple sclerosis
Mobility
Jahr
Publikationsjahr
2021
Link
Zur Publikation (externer Server)
https://doi.org/10.3390/brainsci11081049
Tags
Forschungsthemen
Multiple Sklerose
Mobilität
2021
MOBI
Efficacy of prolonged-release fampridine versus placebo on walking ability, dynamic and static balance, physical impact of multiple sclerosis, and quality of life: an integrated analysis of MOBILE and ENHANCE
Mobility
Jahr
2022
Transparent Quality Optimization for Machine Learning-Based Regression in Neurology
Mobility
Jahr
2022
Detection of Fall Risk in Multiple Sclerosis by Gait Analysis—An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms
Mobility
Jahr
2022
Comparative study of microvascular function: Forearm blood flow versus dynamic retinal vessel analysis
ANF
Jahr
2021
Chances and Challenges of Registry-Based Pharmacovigilance in Multiple Sclerosis: Lessons Learnt from the Implementation of the Multicenter REGIMS Registry
MASC
Jahr
2021
