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Potential suicide risk among the college student population: machine learning approaches for identifying predictors and different students’ risk profiles

Crossref DOI link: https://doi.org/10.1186/s41155-024-00301-6

Published Online: 2024-05-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Dagani, Jessica http://orcid.org/0000-0003-2890-6608
Buizza, Chiara http://orcid.org/0000-0002-3339-3539
Ferrari, Clarissa http://orcid.org/0000-0002-4101-6872
Ghilardi, Alberto http://orcid.org/0000-0002-7053-7853
Funding

Funding for this research was provided by:

Department of Clinical and Experimental Sciences of the University of Brescia (56, 27/09/2018)
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Text and Data Mining valid from 2024-05-17

Version of Record valid from 2024-05-17
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Article History

Received: 12 June 2023

Accepted: 2 May 2024

First Online: 17 May 2024

Declarations

:

: The authors declare that they have no competing interests.

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