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Patterns of risk—Using machine learning and structural neuroimaging to identify pedophilic offenders

BACKGROUND: Child sexual abuse (CSA) has become a focal point for lawmakers, law enforcement, and mental health professionals. With high prevalence rates around the world and far-reaching, often chronic, individual, and societal implications, CSA and its leading risk factor, pedophilia, have been we...

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Detalles Bibliográficos
Autores principales: Popovic, David, Wertz, Maximilian, Geisler, Carolin, Kaufmann, Joern, Lähteenvuo, Markku, Lieslehto, Johannes, Witzel, Joachim, Bogerts, Bernhard, Walter, Martin, Falkai, Peter, Koutsouleris, Nikolaos, Schiltz, Kolja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157073/
https://www.ncbi.nlm.nih.gov/pubmed/37151966
http://dx.doi.org/10.3389/fpsyt.2023.1001085