2023
DOI: 10.1016/j.jpsychires.2023.05.008
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A pilot predictive model based on COVID-19 data to assess suicidal ideation indirectly

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Cited by 3 publications
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“…In the context of the pandemic, dissatisfaction with close relationships and housing emerged as the most significant predictors of suicidal ideation, surpassing the economic situation. Machine learning techniques can be employed to identify the presence of suicidal ideation [35].…”
Section: Discussionmentioning
confidence: 99%
“…In the context of the pandemic, dissatisfaction with close relationships and housing emerged as the most significant predictors of suicidal ideation, surpassing the economic situation. Machine learning techniques can be employed to identify the presence of suicidal ideation [35].…”
Section: Discussionmentioning
confidence: 99%