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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Bibliographic Details
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
Format: Article
Language:English
Published: Elsevier 2018-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158218301827

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http://www.sciencedirect.com/science/article/pii/S2213158218301827

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