Predicting Urinary Lithiasis Cases Using Regional Bed Numbers
The detection rate of district-specific diseases as positively linked to the number of hospital beds and the area population. The method provided a benchmark for detecting common diseases in other regions and offered practical early warning option for prevention and early intervention.
Authors
- S. Lee
- Jin Du (ORCID: https://orcid.org/0000-0001-6555-7916)
- Biao Li (ORCID: https://orcid.org/0009-0009-1726-6917)
- Zhan Li (ORCID: https://orcid.org/0000-0001-7748-2691)
- Lin Xiu
- Bo Tian (ORCID: https://orcid.org/0000-0001-5480-888X)
- X. Pan
Institutions
- Central South University (CN)
- Guilin Medical University (CN)
- Guangxi Normal University (CN)
- Krirk University (TH)
- Fourth People's Hospital of Sichuan Province (CN)
- Guangxi University of Chinese Medicine (CN)
- Ruikang Affiliated Hospital of Guangxi Medical University (CN)
Publication Details
- Journal
- Journal of the Pakistan Medical Association
- Published
- 2025-10-04
- DOI
- https://doi.org/10.47391/jpma.srph-06
- Primary Topic
- Systemic Sclerosis and Related Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00