Building a Person-Specific Model of Suicide Risk: An Example from Dialectical Behavior Therapy (DBT) Diary Card Data

We analyzed variables tracked daily (e.g., emotions) by a client who attempted suicide during DBT. We used Gaussian finite mixture modeling (GFMM) to generate day-level mood classes. The class most associated with the days before a suicide attempt potentially highlights the participant’s most high-risk days for suicidal behavior.