An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients

An interpretable SVM-based machine learning model was developed and validated for early prediction of <i>E. coli</i> infection in ICU patients, demonstrating good discrimination, calibration, and potential clinical benefit. The associated online tool provides transparent, individualized risk predictions and may facilitate timely clinical decision-making.

Authors

S. Alex Yang (ORCID: https://orcid.org/0000-0002-1238-1539)
Laiyu Zou
Xiaoling Chen (ORCID: https://orcid.org/0000-0001-8226-8446)
Xiaohong Xu (ORCID: https://orcid.org/0000-0002-3893-7638)
Huixin Liang (ORCID: https://orcid.org/0000-0003-0803-2579)

Institutions

Fujian Medical University (CN)
Union Hospital (US)
Union Hospital (CN)

Publication Details

Journal: Frontiers in Cellular and Infection Microbiology
Published: 2025-11-24
DOI: https://doi.org/10.3389/fcimb.2025.1682764
Citations: 1
Primary Topic: Sepsis Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 1.35

Funders

National Natural Science Foundation of China
Natural Science Foundation of Fujian Province

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article

An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients

S. Alex Yang, Laiyu Zou, Xiaoling Chen, Xiaohong Xu et al.

Nov 24, 2025

1 citations

Frontiers in Cellular and Infection Microbiology

Sepsis Diagnosis and Treatment

1.35

article

An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients

S. Alex Yang, Laiyu Zou, Xiaoling Chen, Xiaohong Xu, Huixin Liang

November 24, 2025article en

1 citations

Abstract

An interpretable SVM-based machine learning model was developed and validated for early prediction of <i>E. coli</i> infection in ICU patients, demonstrating good discrimination, calibration, and potential clinical benefit. The associated online tool provides transparent, individualized risk predictions and may facilitate timely clinical decision-making.

Frontiers in Cellular and Infection MicrobiologyVol. 15

Fujian Medical University (CN), Union Hospital (US), Union Hospital (CN)

National Natural Science Foundation of China, Natural Science Foundation of Fujian Province

Openalex Percentile: Top 14%

Sepsis Diagnosis and Treatment

1.35

DOI Open Access PDF OpenAlex

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An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients — S. Alex Yang, Laiyu Zou, et al. · Frontiers in Cellular and Infection Microbiology (2025) | TGRS Research Map | TGRS