Development and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning study

Authors

Xianlong Zhou (ORCID: https://orcid.org/0000-0002-6163-5320)
Cong Tian
Yan Zhao (ORCID: https://orcid.org/0000-0002-5181-0367)
Shan Jiang (ORCID: https://orcid.org/0000-0001-7766-222X)
Cheng Jiang (ORCID: https://orcid.org/0000-0002-6149-3043)
Y. Yuan (ORCID: https://orcid.org/0000-0001-7969-3951)
Chengwei Li (ORCID: https://orcid.org/0000-0002-3614-2276)
Yulin Li (ORCID: https://orcid.org/0000-0001-6907-5594)
Shuai Dai (ORCID: https://orcid.org/0009-0008-2602-0663)

Institutions

Wuhan University (CN)
Philips (China) (CN)
Zhongnan Hospital of Wuhan University (CN)

Publication Details

Journal: EClinicalMedicine
Published: 2025-01-10
DOI: https://doi.org/10.1016/j.eclinm.2024.103048
Citations: 10
Primary Topic: Sepsis Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 13.54

Funders

Wuhan University
Zhongnan Hospital of Wuhan University

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article

Development and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning study

Xianlong Zhou, Cong Tian, Yan Zhao, Shan Jiang et al.

Jan 10, 2025

10 citations

EClinicalMedicine

Sepsis Diagnosis and Treatment

13.54

article

Development and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning study

Xianlong Zhou, Cong Tian, Yan Zhao, Shan Jiang, Cheng Jiang, Y. Yuan, Chengwei Li, Yulin Li, Shuai Dai

January 10, 2025article en

10 citations

Abstract

No abstract available for this paper.

EClinicalMedicineVol. 80

Wuhan University (CN), Philips (China) (CN), Zhongnan Hospital of Wuhan University (CN)

Wuhan University, Zhongnan Hospital of Wuhan University

Openalex Percentile: Top 1%

Sepsis Diagnosis and Treatment

13.54

DOI Open Access PDF OpenAlex

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