Development and validation of a predictive model for myocardial injury in children with pneumonia based on interpretable machine learning.

Zhang S, Zhang J

DOI: 10.3389/fped.2026.1907041
Published: 2026
Container: Frontiers in pediatrics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fped.2026.1907041,
  title = {Development and validation of a predictive model for myocardial injury in children with pneumonia based on interpretable machine learning.},
  author = {Zhang S and Zhang J},
  year = {2026},
  journal = {Frontiers in pediatrics},
  doi = {10.3389/fped.2026.1907041},
  url = {https://doi.org/10.3389/fped.2026.1907041}
}

RIS

TY  - JOUR
TI  - Development and validation of a predictive model for myocardial injury in children with pneumonia based on interpretable machine learning.
AU  - Zhang S
AU  - Zhang J
PY  - 2026
JO  - Frontiers in pediatrics
DO  - 10.3389/fped.2026.1907041
UR  - https://doi.org/10.3389/fped.2026.1907041
ER  -

APA

S, Z., & J, Z. (2026). Development and validation of a predictive model for myocardial injury in children with pneumonia based on interpretable machine learning.. Frontiers in pediatrics. https://doi.org/10.3389/fped.2026.1907041

Source records

pubmed · retrieved 2026-09-25T19:48:28.658Z