Machine learning model to predict sepsis in ICU patients with intracerebral hemorrhage

L Lei Tang (Key Laboratory for Ultrafine Materials of Ministry of Education, School of Chemical Engineering) Y Ye Li J Ji Zhang F Feng Zhang Q Qiaoling Tang X Xiangbin Zhang S Sai Wang Y Yupeng Zhang S Siyuan Ma (Department of Chemistry and the MOE Key Lab of Spectrochemical Analysis & Instrumentation, College of Chemistry and Chemical Engineering) R Ran Liu L Lei Chen J Junyi Ma X Xuelun Zou T Tianxing Yao R Rongmei Tang H Huifang Zhou L Lianxu Wu Y Yexiang Yi Y Yi Zeng D Duolao Wang L Le Zhang

Article Details

Volume / Issue Vol. 15, Issue 1
Published May 10, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (21)

L

Lei Tang

Key Laboratory for Ultrafine Materials of Ministry of Education, School of Chemical Engineering

Y

Ye Li

J

Ji Zhang

F

Feng Zhang

Q

Qiaoling Tang

X

Xiangbin Zhang

S

Sai Wang

Y

Yupeng Zhang

S

Siyuan Ma

Department of Chemistry and the MOE Key Lab of Spectrochemical Analysis & Instrumentation, College of Chemistry and Chemical Engineering

R

Ran Liu

L

Lei Chen

J

Junyi Ma

X

Xuelun Zou

T

Tianxing Yao

R

Rongmei Tang

H

Huifang Zhou

L

Lianxu Wu

Y

Yexiang Yi

Y

Yi Zeng

D

Duolao Wang

L

Le Zhang