Personality biomarkers of pathological gambling: A machine learning study

Antonio Cerasa, Danilo Lofaro, Paolo Cavedini, Iolanda Martino, Antonella Bruni, Alessia Sarica, Domenico Mauro, Giuseppe Merante, Ilaria Rossomanno, Maria Rizzuto, Antonio Palmacci, Benedetta Aquino, Pasquale De Fazio, Giampaolo R. Perna, Elena Vanni, Giuseppe Olivadese, Domenico Conforti, Gennarina Arabia, Aldo Quattrone

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)7-14
Number of pages8
JournalJournal of Neuroscience Methods
Volume294
DOIs
Publication statusPublished - 15 Jan 2018

Keywords

  • Pathological gambling
  • Personality profile
  • Machine learning
  • Five-factor model
  • Conscientiousness
  • Openness
  • Neuroticism
  • 5-FACTOR MODEL
  • PARKINSONS-DISEASE
  • DIAGNOSIS
  • TRAITS
  • DSM-5
  • CLASSIFICATION
  • DISORDERS
  • SUPPORT
  • RISK
  • METAANALYSIS

Cite this

Cerasa, A., Lofaro, D., Cavedini, P., Martino, I., Bruni, A., Sarica, A., Mauro, D., Merante, G., Rossomanno, I., Rizzuto, M., Palmacci, A., Aquino, B., De Fazio, P., Perna, G. R., Vanni, E., Olivadese, G., Conforti, D., Arabia, G., & Quattrone, A. (2018). Personality biomarkers of pathological gambling: A machine learning study. Journal of Neuroscience Methods, 294, 7-14. https://doi.org/10.1016/j.jneumeth.2017.10.023