| Predicting depression in old age: Combining life course data with machine learning |
| English |
| 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) >] |
| 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 |