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Predicting depression in old age: Combining life course data with machine learning
MONTORSI, Carlotta
2022PhD conference in Social Science
 

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Keywords :
Depression; Machine Learning; Aging society
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)
External co-authors :
no
Language :
English
Title :
Predicting depression in old age: Combining life course data with machine learning
Publication date :
24 November 2022
Event name :
PhD conference in Social Science
Event organizer :
Department of Social Science
Event date :
24-11-2022
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Name of the research project :
Predicting Well-Being in old age
Funders :
FNR - Fonds National de la Recherche
Available on ORBilu :
since 07 March 2023

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