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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...
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7004343/ https://ncbi.nlm.nih.gov/pubmed/32027680 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0228422 |
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