Reference : Assessing the clinical utility of the DSM-5 internet gaming disorder criteria by usin...
Scientific congresses, symposiums and conference proceedings : Poster
Social & behavioral sciences, psychology : Multidisciplinary, general & others
Computational Sciences
http://hdl.handle.net/10993/47275
Assessing the clinical utility of the DSM-5 internet gaming disorder criteria by using supervised machine learning
English
Infanti, Alexandre mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) >]
Vögele, Claus [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) >]
Deleuze, Jory []
Baggio, Stéphanie []
Billieux, Joël []
21-May-2021
No
No
National
DTU DRIVEN Colloquium
21/05/2021
Andreas Zilian
University of Luxembourg
Luxembourg
[en] Machine Learning ; Gaming disorder ; Psychopathology
Researchers
http://hdl.handle.net/10993/47275
FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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