Forecasting Hospitalization for Adult Asthma Patients in Emergency Departments Based on Multiple Environmental and Clinical Factors
Machine learning (ML) models based on clinical, meteorological, and air pollution data can rapidly and accurately predict hospitalization of adult asthma patients in EDs.
Authors
- Hanxu Xi (ORCID: https://orcid.org/0000-0001-8184-2450)
- Yongchang Sun (ORCID: https://orcid.org/0000-0001-9547-9381)
- Hongjian Ji
- Wei Li (ORCID: https://orcid.org/0000-0002-6235-0749)
- Chen Zhang (ORCID: https://orcid.org/0000-0003-1362-2215)
- Zhiqiang He (ORCID: https://orcid.org/0009-0006-9716-0845)
- Chun Chang (ORCID: https://orcid.org/0000-0003-3600-062X)
- Rena C. Zuo
- Yudi Zhang (ORCID: https://orcid.org/0000-0003-2597-3389)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- Peking University (CN)
- Peking University Third Hospital (CN)
Publication Details
- Journal
- Journal of Asthma and Allergy
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/jaa.s512405
- Citations
- 1
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Peking University
- Peking University Third Hospital