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Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
Predicting depression in old age: Combining life course data with machine learning
MONTORSI, Carlotta
;
FUSCO, Alessio
;
VAN KERM, Philippe
et al.
2022
•
Well-Being conference
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https://hdl.handle.net/10993/54824
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Annexes
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Keywords :
Depression; Machine Learning; Aging
Research center :
LISER - Luxembourg Institute of Socio-Economic Research
Disciplines :
Special economic topics (health, labor, transportation...)
Author, co-author :
MONTORSI, Carlotta
;
University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE)
FUSCO, Alessio
;
University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE)
VAN KERM, Philippe
;
University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC)
BORDAS, Stéphane
;
University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
External co-authors :
no
Language :
English
Title :
Predicting depression in old age: Combining life course data with machine learning
Publication date :
03 June 2022
Event name :
Well-Being conference
Event organizer :
STATEC
Event date :
from 01.06.2022 to 4.06.2022
Audience :
International
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Name of the research project :
Predictive well-being in old age
Funders :
FNR - Fonds National de la Recherche
Available on ORBilu :
since 08 April 2023
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