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...
| Автори: | , , , , , , , , , , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Elsevier
2018-01-01
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| Серія: | NeuroImage: Clinical |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2213158218301827 |