Applying natural language processing to understand symptoms among older adult home healthcare patients with urinary incontinence
Knowledge of symptoms of older adult home healthcare patients with urinary incontinence can facilitate comprehensive assessments, health equity, and improved outcomes.
Authors
- Jiyoun Song (ORCID: https://orcid.org/0000-0003-0362-0670)
- Maxim Topaz (ORCID: https://orcid.org/0000-0002-2358-9837)
- Mollie Hobensack (ORCID: https://orcid.org/0000-0003-2852-4175)
- Danielle Scharp (ORCID: https://orcid.org/0000-0002-3265-6667)
- Mary H. Palmer (ORCID: https://orcid.org/0000-0002-3849-5577)
- Veronica Barcelona (ORCID: https://orcid.org/0000-0003-3070-1716)
Institutions
- University of North Carolina at Chapel Hill (US)
- Columbia University (US)
- University of Pennsylvania (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Journal of Nursing Scholarship
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1111/jnu.13038
- Citations
- 3
- Primary Topic
- Pelvic floor disorders treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.41
Funders
- American Glaucoma Society Foundation
- Agency for Healthcare Research and Quality
- National Heart, Lung, and Blood Institute
- National Institute of Nursing Research
- National Institute on Minority Health and Health Disparities