Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia

Feature selection plays a crucial role in the development of machine learning algorithms. Understanding the impact of the features on a model, and their physiological relevance can improve the performance. This is particularly helpful in the healthcare domain wherein disease states need to be identi...

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Detalles Bibliográficos
Autores principales: Suresh, Shruthi, Newton, David T., Everett, Thomas H., Lin, Guang, Duerstock, Bradley S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416695/
https://www.ncbi.nlm.nih.gov/pubmed/36033642
http://dx.doi.org/10.3389/fninf.2022.901428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416695/
https://www.ncbi.nlm.nih.gov/pubmed/36033642
http://dx.doi.org/10.3389/fninf.2022.901428

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