Development and external validation of a machine learning prediction model for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis in children using routine blood parameters: a retrospective cohort study

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Publication Details

Journal
BMC Infectious Diseases
Published
2026-06-27
DOI
https://doi.org/10.1186/s12879-026-13891-6
Primary Topic
Autoimmune and Inflammatory Disorders Research
Type
article
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article

Development and external validation of a machine learning prediction model for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis in children using routine blood parameters: a retrospective cohort study

H LIU, R Wang, Jie Yu, Z Li et al.
BMC Infectious Diseases
Autoimmune and Inflammatory Disorders Research
article

Development and external validation of a machine learning prediction model for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis in children using routine blood parameters: a retrospective cohort study

H LIU, R Wang, Jie Yu, Z Li, Wanxing Liu, Li Xiao, Yinghui Cui, Yan Meng, Meiling Liao
article en

Abstract

No abstract available for this paper.
BMC Infectious Diseases
Children's Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Peace, Justice and strong institutions, Gender equality
Openalex Percentile: Top 7%
Autoimmune and Inflammatory Disorders Research
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