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An investigation of how normalisation and local modelling techniques confound machine learning performance in a mental health study
Machine learning (ML) is increasingly deployed on biomedical studies for biomarker development (feature selection) and diagnostic/prognostic technologies (classification). While different ML techniques produce different feature sets and classification performances, less understood is how upstream da...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156999/ https://www.ncbi.nlm.nih.gov/pubmed/35663731 http://dx.doi.org/10.1016/j.heliyon.2022.e09502 |