Age of gray matters: Neuroprediction of recidivism

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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Detalhes bibliográficos
Main Authors: Kent A. Kiehl, Nathaniel E. Anderson, Eyal Aharoni, J.Michael Maurer, Keith A. Harenski, Vikram Rao, Eric D. Claus, Carla Harenski, Mike Koenigs, Jean Decety, David Kosson, Tor D. Wager, Vince D. Calhoun, Vaughn R. Steele
Formato: Artigo
Idioma:English
Publicado em: Elsevier 2018-01-01
Colecção:NeuroImage: Clinical
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2213158218301827

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