Poster (Scientific congresses, symposiums and conference proceedings)
Assessing the clinical utility of the DSM-5 internet gaming disorder criteria by using supervised machine learning
Infanti, Alexandre; Vögele, Claus; Deleuze, Jory et al.
2021DTU DRIVEN Colloquium
 

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Keywords :
Machine Learning; Gaming disorder; Psychopathology
Disciplines :
Social & behavioral sciences, psychology: Multidisciplinary, general & others
Author, co-author :
Infanti, Alexandre  ;  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
External co-authors :
yes
Language :
English
Title :
Assessing the clinical utility of the DSM-5 internet gaming disorder criteria by using supervised machine learning
Publication date :
21 May 2021
Event name :
DTU DRIVEN Colloquium
Event organizer :
Andreas Zilian
Event place :
University of Luxembourg, Luxembourg
Event date :
21/05/2021
Focus Area :
Computational Sciences
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
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since 26 May 2021

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