Modeling biological individuality using machine learning: A study on human gait

Human gait is a complex and unique biological process that can offer valuable insights into an individual’s health and well-being. In this work, we leverage a machine learning-based approach to model individual gait signatures and identify factors contributing to inter-individual variability in gait...

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Detalles Bibliográficos
Autores principales: Horst, Fabian, Slijepcevic, Djordje, Simak, Marvin, Horsak, Brian, Schöllhorn, Wolfgang Immanuel, Zeppelzauer, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319823/
https://www.ncbi.nlm.nih.gov/pubmed/37416082
http://dx.doi.org/10.1016/j.csbj.2023.06.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319823/
https://www.ncbi.nlm.nih.gov/pubmed/37416082
http://dx.doi.org/10.1016/j.csbj.2023.06.009

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