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

MONTORSI, Carlotta

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

MONTORSI, Carlotta

2022 • SHARE 7th User Conference

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https://hdl.handle.net/10993/54540

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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 :

Language :

English

Title :

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

Publication date :

06 October 2022

Event name :

SHARE 7th User Conference

Event date :

from 05-10-2022 to 07-10-2022

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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