Risk classification of severe pneumonia at admission in children with human metapneumovirus infection: development of a machine learning model based on retrospective data from 854 cases

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Publication Details

Journal
BMC Pulmonary Medicine
Published
2026-10-14
DOI
https://doi.org/10.1186/s12890-026-04816-9
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
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article

Risk classification of severe pneumonia at admission in children with human metapneumovirus infection: development of a machine learning model based on retrospective data from 854 cases

袁丽娇, Ying Zhu, Penghao Cui, Yonghan Luo et al.
BMC Pulmonary Medicine
Respiratory viral infections research
article

Risk classification of severe pneumonia at admission in children with human metapneumovirus infection: development of a machine learning model based on retrospective data from 854 cases

袁丽娇, Ying Zhu, Penghao Cui, Yonghan Luo, Qingping Tang, Haifeng Jin, Yin Li, Ruonan Li, Yanchun Wang
article en

Abstract

No abstract available for this paper.
BMC Pulmonary Medicine
Kunming University of Science and Technology (CN), Kunming Medical University (CN), Kunming Children's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 12%
Respiratory viral infections research
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