Author

Matthew K. Nock

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#machine learning Preprint Oct 2026

Latent Similarity Gaussian Processes: A Theory-Grounded Approach to Personalized Suicide-Risk Forecasting for Clinical Decision-Support

Forecasting suicide risk is difficult due to the high heterogeneity of patients and the low base rate of suicide-related events (SREs). We present Latent Similarity Gaussian Processes (LSGPs), which embed patients in a continuous latent space to jointly model similarity and forecast risk. By selectively drawing informa...

Yaniv Yacoby, Wei-Wei Pan, Hope Neveux et al. · 0 citations

Review Open access Sep 2026

Using large language models to create lexicons for interpretable text models with high content validity: the Suicide Risk Lexicon

This work demonstrates that LLMs –despite being black-boxes– can counterintuitively create interpretable models by generating lexicons, when this is preferred, and highlights the broader application of lexicons beyond measurement.

Daniel M. Low, Osiris Rankin, Daniel D. L. Coppersmith et al. · Journal of Psychopathology a... · 0 citations

Review Open access Jul 2026

Factors Associated with Long-Term Suicide Risk Severity Among Youth in Community Behavioral Health Care

Emergency department use, and its associated significant illness severity, may be associated with increased suicide severity risk for youth even multiple years later, even multiple years later.

Albert Y. H. Lo, S. Mazen, Peyton Williams et al. · Journal of Affective Disorde... · 0 citations