| Literature DB >> 29183655 |
Russell A Poldrack1, John Monahan2, Peter B Imrey3, Valerie Reyna4, Marcus E Raichle5, David Faigman6, Joshua W Buckholtz7.
Abstract
The ability to accurately predict violence and other forms of serious antisocial behavior would provide important societal benefits, and there is substantial enthusiasm for the potential predictive accuracy of neuroimaging techniques. Here, we review the current status of violence prediction using actuarial and clinical methods, and assess the current state of neuroprediction. We then outline several questions that need to be addressed by future studies of neuroprediction if neuroimaging and other neuroscientific markers are to be successfully translated into public policy.Entities:
Keywords: crime; machine learning; neuroimaging; predictive modeling; violence
Mesh:
Year: 2017 PMID: 29183655 PMCID: PMC5794654 DOI: 10.1016/j.tics.2017.11.003
Source DB: PubMed Journal: Trends Cogn Sci ISSN: 1364-6613 Impact factor: 20.229