A tri-light warning system for hospitalized COVID-19 patients: Credibility-based risk stratification for future pandemic preparedness
The tri-light warning system can enhance pandemic responses by effectively stratifying COVID-19 patients under varying conditions and data shifts.
Authors
- Chuanjun Xu
- Qinmei Xu (ORCID: https://orcid.org/0000-0001-7200-0817)
- Xianghao Zhan (ORCID: https://orcid.org/0000-0002-7058-2603)
- Long Jiang Zhang (ORCID: https://orcid.org/0000-0002-6664-7224)
- Dianxu Ren (ORCID: https://orcid.org/0000-0002-1160-8922)
- Zijian Xing
- Guangming Lu (ORCID: https://orcid.org/0000-0003-4913-2314)
- Olivier Gevaert (ORCID: https://orcid.org/0000-0002-9965-5466)
- Xiao Li (ORCID: https://orcid.org/0000-0002-2550-5764)
- Li Liu (ORCID: https://orcid.org/0000-0001-8512-8676)
- Zhen Zhou (ORCID: https://orcid.org/0000-0003-0121-0029)
- Mu Zhou (ORCID: https://orcid.org/0000-0001-5072-5630)
- Changsheng Zhou (ORCID: https://orcid.org/0000-0002-4297-364X)
Institutions
- Rutgers, The State University of New Jersey (US)
- Nanjing University of Chinese Medicine (CN)
- University of California, Santa Cruz (US)
- Environmental and Occupational Health Sciences Institute (US)
- Hebei Yiling Hospital (CN)
- Healthwise (US)
- Nanjing Second Hospital (CN)
- Jinling Institute of Technology (CN)
- Carnegie Mellon University (US)
- Stanford University (US)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1016/j.ejro.2024.100603
- Citations
- 2
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 2.26
Funders
- National Natural Science Foundation of China
- Natural Science Foundation for Young Scientists of Shanxi Province
- Young Scientists Fund
- National Science Fund for Distinguished Young Scholars