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...

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Detalles Bibliográficos
Autores principales: Zhang, Xinxin, Lee, Jimmy, Goh, Wilson Wen Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
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

Internet

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

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