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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Playback language: English

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Abstract

This paper introduces individual-level continuous-time trajectory models of suicidal ideation for a clinical population (N = 585) using data from a digital platform. These models predict future suicide ideation levels and variability, offering personalized insights for enhanced measurement-based care and informing monitoring frequency.

Publisher

npj Mental Health Research

Published On

Jun 07, 2024

Authors

Mathew Varidel, Ian B. Hickie, Ante Prodan, Adam Skinner, Roman Marchant, Sally Cripps, Rafael Oliveria, Min K. Chong, Elizabeth Scott, Jan Scott, Frank Iorfino

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