Yes, algorithms can predict suicidal tendencies. Machine learning (ML) algorithms have shown promise in identifying individuals at high risk for suicide based on various factors. For instance, studies using ML have demonstrated notable predictive accuracy, including an area under the curve (AUC) of 0.88 for detecting suicidal ideation from social media data, indicating effective identification of at-risk individuals before they express such thoughts [6].

Furthermore, the incorporation of diverse data sources, including social media posts, enables algorithms to detect subtle signs of distress that might not be communicated verbally. This capability allows for targeted clinical interventions and better resource allocation in mental health care [2][6].

The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors - Trehani M Fonseka, Venkat Bhat, Sidney H Kennedy, 2019

Can algorithms predict suicidal tendencies?

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