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Journal of Mood and Anxiety Disorders|July 14, 2025
Applying large language models to stratify suicide risk using narrative clinical notesThomas H McCoy, Roy H PerlisJournal of Mood and Anxiety Disorders|July 14, 2025
Characterizing research domain criteria symptoms among psychiatric inpatients using large language modelsThomas H McCoy, Roy H PerlisThe International Journal of Neuropsychopharmacology|February 13, 2015
A tool to utilize adverse effect profiles to identify brain-active medications for repurposingThomas H McCoy, Roy H PerlisAlzheimer'S & Dementia : the Journal of the Alzheimer'S Association|November 11, 2025
Predicting hospice eligibility among dementia patients using language modelsThomas H McCoy, Roy H PerlisBiological Psychiatry|June 12, 2024
Dimensional Measures of Psychopathology in Children and Adolescents Using Large Language ModelsThomas H McCoy, Roy H PerlisBMJ Mental Health|May 11, 2025
Reasoning language models for more transparent prediction of suicide riskThomas H McCoy, Roy H PerlisTranslational Psychiatry|January 31, 2019
Using phenome-wide association to investigate the function of a schizophrenia risk locus at SLC39A8Thomas H McCoy, Amelia M Pellegrini, Roy H PerlisJournal of Affective Disorders|April 5, 2025
Estimating depression severity in narrative clinical notes using large language modelsThomas H McCoy, Victor M Castro, Roy H PerlisJournal of Affective Disorders|September 21, 2019
What do patients learn about psychotropic medications on the web? A natural language processing studyKamber L Hart, Roy H Perlis, Thomas H McCoyDepression and Anxiety|February 3, 2019
Research Domain Criteria scores estimated through natural language processing are associated with risk for suicide and accidental deathThomas H McCoy, Amelia M Pellegrini, Roy H PerlisPageof 42