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Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms
This paper focuses on the application of machine learning algorithms for predicting spinal abnormalities. As a data preprocessing step, univariate feature selection as a filter based feature selection, and principal component analysis (PCA) as a feature extraction algorithm are considered. A number...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004343/ https://www.ncbi.nlm.nih.gov/pubmed/32027680 http://dx.doi.org/10.1371/journal.pone.0228422 |