Universitätsklinikum Carl Gustav Carus Dresden an der Technischen Universität Dresden Anstalt des öffentlichen Rechts des Freistaates Sachsen
ZKN Logo
  • The Center
    • Multiple Sclerosis Center Dresden
      • Patient Information
      • Contact MSC
      • Physicians & Nurses
      • Study Team
      • Neuropsychology
    • Mobility Center
      • The Mobility Center
      • Walking Assessment
      • Jump Assessment
      • DIERS
      • EMIQ
      • Projects
    • Neuroimmunological Laboratory
      • The NIL
      • Neurofilament light chain
    • Autonomic & Neuroendocrinological Functional Laboratory
      • The ANF
      • ANF Assessment
    • MS Living Lab
    • Management & Science
      • Team Management & Science
      • Projects
      • eHealth & Analytics
        • MSDS 3D
        • MSDS Clinic & Practice
        • MS-HRS
        • MTRS
      • Multiple Sclerosis Management
  • Aktuelles
    • Neuigkeiten
    • Publikationen
    • Veranstaltungen
      • Adventssymposium
      • Multiple Sklerose 360°
      • Welt-MS-Tag 2021
    • Doktorarbeiten
    • Jobs
    • Kontakt
  • Podcasts & Newsletter
    • Newsletter
    • Patienten-Podcast
    • Ärzte-Podcast
    • Neurovision
    • Immune cell calender 25
    • Sherlock-MS-Blog
  • Studien
    • Interventionelle Studien
    • B-SHUTTLE
    • Nicht-interventionelle Studien
    • MS PATHS
    • Konectom
    • Sprachanalyse
English (UK)
Deutsch
English (UK)

Use of machine learning algorithms to detect fear of falling in people with multiple sclerosis

Mobility

Jahr

Publikationsjahr
2024

Autoren

Autorenliste der Publikation
Trentzsch K, Schumann P, Stölzer-Hutsch H, Stecher N, Malberg H, Ziemssen T.

Verlag

Publisher-Information
Clinical Neurophysiology. 2024 Mar 1;159:e32-3.

Link

Zur Publikation (externer Server)
https://doi.org/10.1016/j.clinph.2023.12.081

Tags

Forschungsthemen
Multiple SkleroseMobilität
MSZ2024MOBI

  • Personalized treatment decision algorithms for the clinical application of serum neurofilament light chain in multiple sclerosis: A modified Delphi Study

    NIL
    Jahr
    2025

  • Variations in neuronal cytoskeletal integrity affect directed communication in distributed networks during inhibitory control

    Multiple Sclerosis
    Jahr
    2025

  • Extensive T-Cell Profiling Following SARS-CoV-2 mRNA Vaccination in Multiple Sclerosis Patients Treated with DMTs

    NIL
    Jahr
    2025

  • Patient Perspectives on Healthcare Utilization During the COVID-19 Pandemic in People with Multiple Sclerosis—A Longitudinal Analysis

    Multiple Sclerosis
    Jahr
    2025

  • Editorial: Digital twins in medicine—transition from theoretical concept to tool used in everyday care

    MASC
    Jahr
    2025
  • Start
  • Aktuelles
  • Publikationen
  • Mobility
  • Use of machine learning algorithms to detect fear of falling in people with multiple sclerosis
Impressum & Datenschutz

© 2025
Universitätsklinikum C.G. Carus Dresden an der Technischen Universität Dresden