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  5. Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach

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Article
en
2025

Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach

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en
2025
Vol 34
Vol. 34
DOI: 10.1017/s2045796025000198

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Eduard Vieta
Eduard Vieta

Institution not specified

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Itxaso Alayo
Oriol Pujol
Jordi Alonso
+31 more

Abstract

NCT04556565.

How to cite this publication

Itxaso Alayo, Oriol Pujol, Jordi Alonso, Montse Ferrer, Franco Amigo, Ana Portillo-Van Diest, Núria Aragonés, Andres Pena, Ángel Asúnsolo, Mireia Campos, Meritxell Espuga, Ana González-Pinto, Josep María Haro, Nieves López‐Fresneña, Martín Sánchez, Juan D. Molina, Rafaël Lucas, Mara Parellada, José María Pelayo‐Terán, María João Forjaz, Aurora Pérez‐Zapata, José Ignacio Pijoán, Nieves Plana, Elena Polentinos-Castro, Maria Teresa Puig, Cristina Rius, Ferrán Sanz, Cònsol Serra, Iratxe Urreta, Ronny Bruffaerts, Eduard Vieta, Víctor Pérez, Philippe Mortier, Gemma Vilagut (2025). Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach. , 34, DOI: https://doi.org/10.1017/s2045796025000198.

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Publication Details

Type

Article

Year

2025

Authors

34

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1017/s2045796025000198

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