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Response of the authors to the letter to the editor regarding “Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis”

Crossref DOI link: https://doi.org/10.1016/j.jped.2026.101525

Published Print: 2026-03

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Chen, Ying https://orcid.org/0009-0008-7088-2527
Wang, Shengpei

Wu, Jing https://orcid.org/0000-0002-5674-3378
Wang, Chi https://orcid.org/0000-0001-7170-568X
Li, Ying https://orcid.org/0009-0006-5197-8721
Zou, Peicen https://orcid.org/0000-0001-7407-3227
Xiao, Ruiqi https://orcid.org/0000-0002-0445-7791
Zhang, Na https://orcid.org/0009-0008-6984-9500
He, Huiguang https://orcid.org/0000-0002-0684-1711
Wang, Yajuan https://orcid.org/0000-0002-8830-7255
Funding

Funding for this research was provided by:

Beijing Municipal Administration of Hospitals (PX2024047)

National Natural Science Foundation of China (62201569)

Beijing Municipal Health Commission

Natural Science Foundation of Beijing Municipality (7244289)

Natural Science Foundation of Beijing Municipality (7232009)
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Text and Data Mining valid from 2026-03-01

Version of Record valid from 2026-02-24
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This article is maintained by: Elsevier

Article Title: Response of the authors to the letter to the editor regarding “Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis”

Journal Title: Jornal de Pediatria

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jped.2026.101525

CrossRef DOI link to the associated document: https://doi.org/10.1016/j.jped.2026.101523

Content Type: simple-article

Copyright: © 2026 Published by Elsevier España, S.L.U. on behalf of Sociedade Brasileira de Pediatria.

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