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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MIT Press
2022
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| Materias: | |
| 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 |