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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Bibliografiska uppgifter
Huvudupphovsmän: 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
Materialtyp: Artigo
Språk:Inglês
Publicerad: Elsevier 2018-01-01
Serie:NeuroImage: Clinical
Länkar:http://www.sciencedirect.com/science/article/pii/S2213158218301827
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