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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Elsevier 2018-01-01
Sarja:NeuroImage: Clinical
Linkit:http://www.sciencedirect.com/science/article/pii/S2213158218301827
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia