Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs
Personal and family history of suicidal thoughts and behaviors (PSH and FSH, respectively) are significant risk factors associated with suicides. Research is limited in automatic identification of such data from clinical notes in Electronic Health Records. This study developed deep learning (DL) tools utilizing transformer models (Bio_ClinicalBERT and GatorTron) to detect PSH and FSH in clinical notes derived from three academic medical centers, and compared their performance with a rule-based natural language processing tool. For detecting PSH, the rule-based approach obtained an F1-score of 0.75 ± 0.07, while the Bio_ClinicalBERT and GatorTron DL tools scored 0.83 ± 0.09 and 0.84 ± 0.07, respectively. For detecting FSH, the rule-based approach achieved an F1-score of 0.69 ± 0.11, compared to 0.89 ± 0.10 for Bio_ClinicalBERT and 0.92 ± 0.07 for GatorTron. Across sites, the DL tools identified more than 80% of patients at elevated risk for suicide who remain undiagnosed and untreated.
Authors
- Grace Hsin‐Min Wang (ORCID: https://orcid.org/0000-0001-7855-9590)
- Mark G. Weiner (ORCID: https://orcid.org/0000-0001-5586-9940)
- Yonghui Wu (ORCID: https://orcid.org/0000-0002-6780-6135)
- Noah Forrest (ORCID: https://orcid.org/0000-0003-4601-7070)
- Jiang Bian (ORCID: https://orcid.org/0000-0002-2238-5429)
- Braja Gopal Patra (ORCID: https://orcid.org/0000-0003-2997-5314)
- Al’ona Furmanchuk (ORCID: https://orcid.org/0000-0001-7419-9620)
- Aman Pathak (ORCID: https://orcid.org/0009-0001-1741-9313)
- Wei‐Hsuan Lo‐Ciganic (ORCID: https://orcid.org/0000-0001-6590-4770)
- Destinee Morrow (ORCID: https://orcid.org/0000-0002-5832-4820)
- Yuhua Bao (ORCID: https://orcid.org/0000-0002-3825-4327)
- David W. Oslin (ORCID: https://orcid.org/0000-0003-4392-4599)
- Sarah Bost (ORCID: https://orcid.org/0000-0001-8553-9539)
- Theresa L. Walunas (ORCID: https://orcid.org/0000-0002-7653-3650)
- Prakash Adekkanattu (ORCID: https://orcid.org/0000-0003-1125-1449)
- Yuan Luo (ORCID: https://orcid.org/0000-0003-0195-7456)
- Walid Gelad
- Jyotishman Pathak
- Yuyang Yang
Institutions
- Northwestern University (US)
- Lawrence Berkeley National Laboratory (US)
- University of Pittsburgh (US)
- Cornell University (US)
- University of Florida (US)
- Philadelphia VA Medical Center (US)
- Weill Cornell Medicine (US)
- Florida College (US)
Publication Details
- Journal
- npj Digital Medicine
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1038/s41746-024-01266-7
- Citations
- 8
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 5.11
Funders
- National Institute of Mental Health
- National Institute on Drug Abuse