Age of gray matters: Neuroprediction of recidivism

Age is one of the best predictors of antisocial behavior. Risk models of recidivism often combine chronological age with demographic, social and psychological features to aid in judicial decision-making. Here we use independent component analyses (ICA) and machine learning techniques to demonstrate...

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Detalles Bibliográficos
Autores principales: Kiehl, Kent A., Anderson, Nathaniel E., Aharoni, Eyal, Maurer, J.Michael, Harenski, Keith A., Rao, Vikram, Claus, Eric D., Harenski, Carla, Koenigs, Mike, Decety, Jean, Kosson, David, Wager, Tor D., Calhoun, Vince D., Steele, Vaughn R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024200/
https://www.ncbi.nlm.nih.gov/pubmed/30013925
http://dx.doi.org/10.1016/j.nicl.2018.05.036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024200/
https://www.ncbi.nlm.nih.gov/pubmed/30013925
http://dx.doi.org/10.1016/j.nicl.2018.05.036

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