Predicting depression in old age: Combining life course data with machine learning

Reference : Predicting depression in old age: Combining life course data with machine learning


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Business & economic sciences : Special economic topics (health, labor, transportation…)
	To cite this reference:	http://hdl.handle.net/10993/54539

Title :	Predicting depression in old age: Combining life course data with machine learning
Language :	English
Author, co-author :	Montorsi, Carlotta [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > >]
Publication date :	24-Nov-2022
Peer reviewed :	No
Audience :	National
Event name :	PhD conference in Social Science
Event date :	24-11-2022
Event organizer :	Department of Social Science
Keywords :	[en] Depression ; Machine Learning ; Aging society
Research centres :	Luxembourg Institute of Socio-Economic Research - LISER
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	Predicting Well-Being in old age
Target :	Students
Permalink :	http://hdl.handle.net/10993/54539
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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Open access	conferece_SOCIALSCIENCE.pdf		1.22 MB	View/Open

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