Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics

In this critical review, we examine the application of predictive models, for example, classifiers, trained using machine learning (ML) to assist in interpretation of functional neuroimaging data. Our primary goal is to summarize how ML is being applied and critically assess common practices. Our re...

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Detalles Bibliográficos
Autores principales: Cwiek, Andrew, Rajtmajer, Sarah M., Wyble, Bradley, Honavar, Vasant, Grossner, Emily, Hillary, Frank G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942606/
https://www.ncbi.nlm.nih.gov/pubmed/35350584
http://dx.doi.org/10.1162/netn_a_00212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942606/
https://www.ncbi.nlm.nih.gov/pubmed/35350584
http://dx.doi.org/10.1162/netn_a_00212

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