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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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書誌詳細
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: Elsevier 2018-01-01
シリーズ:NeuroImage: Clinical
オンライン・アクセス:http://www.sciencedirect.com/science/article/pii/S2213158218301827
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