Maria Scholz
Dresden, SN 01307, Germany
Last Updated: 09/26/2026
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Found 8 publications
Using machine learning algorithms to detect fear of falling in people with multiple sclerosis in standardized gait analysis.
Journal: Multiple sclerosis and related disorders
Published: December 12, 2023
Detection of Fall Risk in Multiple Sclerosis by Gait Analysis-An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms.
Journal: Brain sciences
Published: October 10, 2022
Profiles of eHealth Adoption in Persons with Multiple Sclerosis and Their Caregivers.
Journal: Brain sciences
Published: July 22, 2021
Improving Digital Patient Care: Lessons Learned from Patient-Reported and Expert-Reported Experience Measures for the Clinical Practice of Multidimensional Walking Assessment.
Journal: Brain sciences
Published: June 04, 2021
Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice.
Journal: Brain sciences
Published: December 21, 2020
Fear of falling and falls in people with multiple sclerosis: A literature review.
Journal: Multiple sclerosis and related disorders
Published: July 27, 2020
The Dresden Protocol for Multidimensional Walking Assessment (DMWA) in Clinical Practice.
Journal: Frontiers in neuroscience
Published: July 10, 2020
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Last Updated: 09/26/2026