Lung involvement percentage in patients with COVID-19 during the Omicron wave in China: a SHAP-explained machine learning study from a single center
During the Omicron surge, greater age and higher daily case counts were associated with higher lung involvement percentage. These associations highlight the relevance of demographic and epidemic factors in characterizing pulmonary findings during large-scale outbreaks.
Authors
- F. Chen
- Yiliang Shen
- Daniel Zhu (ORCID: https://orcid.org/0000-0001-6569-9623)
- Qiujuan Zhou (ORCID: https://orcid.org/0009-0004-3119-604X)
- Xiaoqiang Zhu (ORCID: https://orcid.org/0000-0002-1980-0142)
- Biquan Zhang
- Jianzhong Zhao
- Bin Song
- Yuhang Ma
- Qin Ye
- Dongyuan Shen
- Rong Ren
- Jun Xu
- Jing Pan
- Jian Shi
- Xin Luo
- Siwei Qin
- Yiming Zhu
- Qiang Wang
- Li Ye
Institutions
- Integrated Chinese Medicine (China) (HK)
- Suzhou Traditional Chinese Medicine Hospital (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2026-01-15
- DOI
- https://doi.org/10.3389/fpubh.2025.1728282
- Citations
- 1
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 32.78