A5102514530- Suicide and Self-Harm Studies
- Mental Health via Writing
- Mental Health Research Topics
- Digital Mental Health Interventions
- Psychosomatic Disorders and Their Treatments
- Mental Health Treatment and Access
Harvard University
2023-2024
Background Real-time monitoring captures information about suicidal thoughts and behaviors (STBs) as they occur offers great promise to learn STBs. However, this approach also introduces questions how monitor respond real-time Given the increasing use of monitoring, there is a need for novel, effective, scalable tools responding suicide risk in real time. Objective The goal study was develop test an automated tool (ResourceBot) that promotes crisis services (eg, 988) time through rule-based...
Suicide risk is highest immediately after psychiatric hospitalization, but the field lacks methods for identifying which patients are at greatest risk, and when. We built personalized models predicting suicidal thoughts hospital visits (N=89 patients), using ecological momentary assessment (EMA; average EMA responses per participant=311). several idiographic models, including baseline autoregressive elastic net (using single train/test split) Gaussian Process (GP) an iterative...
<sec> <title>BACKGROUND</title> Real-time monitoring captures information about suicidal thoughts and behaviors (STBs) as they occur offers great promise to learn STBs. However, this approach also introduces questions how monitor respond real-time Given the increasing use of monitoring, there is a need for novel, effective, scalable tools responding suicide risk in real time. </sec> <title>OBJECTIVE</title> The goal study was develop test an automated tool (ResourceBot) that promotes crisis...