Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Machine learning clustering of multidimensional clinical features identifies four prognostically distinct sepsis subtypes
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BibTeX
@article{zhang2026machine,
title = {{Machine learning clustering of multidimensional clinical features identifies four prognostically distinct sepsis subtypes}},
author = {Rui Zhang and Yingli Zhang and Xirou Wu and Rui Zhao and Xiuqing Wu and Yukun Huang and Changshun Huang and Yiwei Zhang and Binbin Zhu},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-74359-w},
url = {https://www.nature.com/articles/s41598-026-74359-w},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Machine learning clustering of multidimensional clinical features identifies four prognostically distinct sepsis subtypes
AU - Rui Zhang
AU - Yingli Zhang
AU - Xirou Wu
AU - Rui Zhao
AU - Xiuqing Wu
AU - Yukun Huang
AU - Changshun Huang
AU - Yiwei Zhang
AU - Binbin Zhu
PY - 2026
DA - 2026/10/03
JO - Scientific Reports
DO - 10.1038/s41598-026-74359-w
UR - https://www.nature.com/articles/s41598-026-74359-w
SN - 2045-2322
ER -