Reference : Predicting depression in old age: Combining life course data with machine learning
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Business & economic sciences : Special economic topics (health, labor, transportation…)
http://hdl.handle.net/10993/54824
Predicting depression in old age: Combining life course data with machine learning
English
Montorsi, Carlotta mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > >]
Fusco, Alessio mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > >]
van Kerm, Philippe mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC) >]
Bordas, Stéphane mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
3-Jun-2022
No
International
Well-Being conference
from 01.06.2022 to 4.06.2022
STATEC
Luxembourg
[en] Depression ; Machine Learning ; Aging
Luxembourg Institute of Socio-Economic Research - LISER
Fonds National de la Recherche - FnR
Predictive well-being in old age
Researchers
http://hdl.handle.net/10993/54824
FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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