Personality biomarkers of pathological gambling

Autor: Antonio Cerasa a, j, Danilo Lofaro b, h, Paolo Cavedini c, Iolanda Martino a, Antonella Bruni d, Alessia Sarica a, Domenico Mauro e, Giuseppe Merante f, Ilaria Rossomanno a, Maria Rizzuto a, Antonio Palmacci g, Benedetta Aquino h, Pasquale De Fazio d, Giampaolo R. Pernac k, l, Elena Vanni c, Giuseppe Olivadese a, Domenico Conforti b, Gennarina Arabia i, Aldo Quattrone a, i

Publikováno v: Journal of neuroscience methods 294 (2018): 7–14. doi:10.1016/j.jneumeth.2017.10.023
info:cnr-pdr/source/autori:Antonio Cerasa a,j, Danilo Lofaro b,h, Paolo Cavedini c, Iolanda Martino a, Antonella Bruni d, Alessia Sarica a, Domenico Mauro e, Giuseppe Merante f, Ilaria Rossomanno a, Maria Rizzuto a, Antonio Palmacci g, Benedetta Aquino h, Pasquale De Fazio d, Giampaolo R. Pernac k,l, Elena Vanni c, Giuseppe Olivadese a, Domenico Conforti b, Gennarina Arabia i, Aldo Quattrone a,i/titolo:Personality biomarkers of pathological gambling: A machine learning study./doi:10.1016%2Fj.jneumeth.2017.10.023/rivista:Journal of neuroscience methods/anno:2018/pagina_da:7/pagina_a:14/intervallo_pagine:7–14/volume:294
Journal of Neuroscience Methods, 294, 7-14. Elsevier Science

Background: The application of artificial intelligence to extract predictors of Gambling disorder (GD) is a new field of study. A plethora of studies have suggested that maladaptive personality dispositions may serve as risk factors for GD. New metho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1ff55e7ad9970adbcd5aaa353af8635
https://doi.org/10.1016/j.jneumeth.2017.10.023