Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic
Abstract Suicide causes over 700,000 deaths annually worldwide. Mental disorders are closely linked to suicidal ideation, but predicting suicide remains complex due to the multifaceted nature of contributing factors. Traditional assessment tools often fail to capture the interactions that drive suic...
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| Main Authors: | Muhammed Ballı, Asli Ercan Dogan, Sevin Hun Senol, Hale Yapici Eser |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-97387-4 |
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