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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |