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Predicting well being in old age
MONTORSI, Carlotta
2021
 

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Keywords :
Well being; Machine learning; Ageing population
Disciplines :
Social & behavioral sciences, psychology: Multidisciplinary, general & others
Author, co-author :
MONTORSI, Carlotta ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) ; Luxembourg Institute of Socio-Economic Research - LISER > Living Conditions
Language :
English
Title :
Predicting well being in old age
Publication date :
21 May 2021
Event name :
DTU-Driven Colloquium
Event organizer :
Andreas Zilian
Event place :
University of Luxembourg, Luxembourg
Event date :
21-5-2021
Focus Area :
Computational Sciences
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Available on ORBilu :
since 31 May 2021

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