Subphenotyping sepsis based on organ interaction trajectory using a deep temporal graph clustering model: a retrospective cohort study
This study was funded by the National Nature Science Foundation of China (No. 32371372) and the National Key Research and Development Program of China (No. 2022YFC2009503).
Authors
- Luping Fang (ORCID: https://orcid.org/0000-0001-7752-4839)
- Gangmin Ning (ORCID: https://orcid.org/0000-0001-9107-5785)
- Qing Pan (ORCID: https://orcid.org/0000-0001-7145-6011)
- Jintao Zhu (ORCID: https://orcid.org/0000-0002-8230-3923)
- Zhongheng Zhang (ORCID: https://orcid.org/0000-0002-2336-5323)
- Xuefeng Yao
- Lei Sun (ORCID: https://orcid.org/0000-0002-8954-683X)
- Xue Feng (ORCID: https://orcid.org/0000-0002-3758-421X)
Institutions
- Sir Run Run Shaw Hospital (CN)
- Zhejiang University of Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- EClinicalMedicine
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1016/j.eclinm.2025.103691
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00