Connectome-based machine learning models are vulnerable to subtle data manipulations

Neuroimaging-based predictive models continue to improve in performance, yet a widely overlooked aspect of these models is “trustworthiness,” or robustness to data manipulations. High trustworthiness is imperative for researchers to have confidence in their findings and interpretations. In this work...

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Detalles Bibliográficos
Autores principales: Rosenblatt, Matthew, Rodriguez, Raimundo X., Westwater, Margaret L., Dai, Wei, Horien, Corey, Greene, Abigail S., Constable, R. Todd, Noble, Stephanie, Scheinost, Dustin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382940/
https://www.ncbi.nlm.nih.gov/pubmed/37521052
http://dx.doi.org/10.1016/j.patter.2023.100756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382940/
https://www.ncbi.nlm.nih.gov/pubmed/37521052
http://dx.doi.org/10.1016/j.patter.2023.100756

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