Transparent Quality Optimization for Machine Learning-Based Regression in Neurology

The clinical monitoring of walking generates enormous amounts of data that contain extremely valuable information. Therefore, machine learning (ML) has rapidly entered the research arena to analyze and make predictions from large heterogeneous datasets. Such data-driven ML-based applications for var...

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Detalles Bibliográficos
Autores principales: Wendt, Karsten, Trentzsch, Katrin, Haase, Rocco, Weidemann, Marie Luise, Weidemann, Robin, Aßmann, Uwe, Ziemssen, Tjalf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224715/
https://www.ncbi.nlm.nih.gov/pubmed/35743693
http://dx.doi.org/10.3390/jpm12060908

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224715/
https://www.ncbi.nlm.nih.gov/pubmed/35743693
http://dx.doi.org/10.3390/jpm12060908

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