Application of a natural language processing algorithm to early asthma ascertainment for adults in the era of electronic health records
Automatic asthma ascertainment for adults based on EHR data is feasible with our NLP algorithm, offering immense scientific and clinical value for large-scale clinical research and population management for adult asthma care.
Authors
- Meera Gupta (ORCID: https://orcid.org/0000-0001-6714-6985)
- Hee Yun Seol (ORCID: https://orcid.org/0000-0003-1840-150X)
- Sungrim Moon (ORCID: https://orcid.org/0000-0002-9191-3897)
- Zhandong Liu (ORCID: https://orcid.org/0000-0002-7608-0831)
- Chung‐Il Wi (ORCID: https://orcid.org/0000-0001-8938-2997)
- Elham Sagheb
- Bhavani Singh Agnikula Kshatriya (ORCID: https://orcid.org/0000-0003-1594-5632)
- Wade L. Schulz (ORCID: https://orcid.org/0000-0002-2048-4028)
- Young J. Juhn (ORCID: https://orcid.org/0000-0003-2112-4240)
- Jason D. Greenwood (ORCID: https://orcid.org/0000-0002-9397-0107)
- Sergio E. Chiarella (ORCID: https://orcid.org/0000-0002-0445-4929)
- Thanai Pongdee (ORCID: https://orcid.org/0000-0002-4725-242X)
- Shauna M. Overgaard (ORCID: https://orcid.org/0000-0002-4494-0008)
- Elizabeth A. Krusemark (ORCID: https://orcid.org/0000-0002-3159-4898)
- Carla M. Davis (ORCID: https://orcid.org/0000-0003-0866-7822)
- Miguel A. Park
- Randy Foss (ORCID: https://orcid.org/0000-0003-3898-7317)
- Sunghwan Sohn (ORCID: https://orcid.org/0000-0001-8256-2602)
- Deepak Sharma (ORCID: https://orcid.org/0000-0001-7612-3486)
- Hongfang Liu (ORCID: https://orcid.org/0000-0002-4352-2533)
- Dave Watson
Institutions
- Howard University (US)
- Baylor College of Medicine (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- Pusan National University Yangsan Hospital (KR)
Publication Details
- Journal
- Journal of Allergy and Clinical Immunology Global
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1016/j.jacig.2025.100618
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00