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Dynamic learning of individual-level suicidal ideation trajectories to enhance mental health care

Medicine and Health

Dynamic learning of individual-level suicidal ideation trajectories to enhance mental health care

M. Varidel, I. B. Hickie, et al.

This innovative research by Mathew Varidel, Ian B. Hickie, Ante Prodan, and colleagues delves into individual-level continuous-time trajectory models of suicidal ideation. By utilizing data from a digital platform, the study offers personalized predictions for future suicide ideation levels, paving the way for enhanced measurement-based care.

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