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This paper is in the following e-collection/theme issue:

#xPediatrics (7) Clinical Information and Decision Making (2125) Decision Support for Health Professionals (1674) Machine Learning (2285) Infectious Diseases (non-STD/STI) (1767) #xInfectiousDiseases (37) #xRespiratoryMedicine (5)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2024.02.22.24303209v1, first published .
Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development

Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development

Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development

Authors of this article:

Oguzhan Serin1 Author Orcid Image ;   Izzet Turkalp Akbasli1 Author Orcid Image ;   Sena Bocutcu Cetin1 Author Orcid Image ;   Busra Koseoglu1 Author Orcid Image ;   Ahmet Fatih Deveci2 Author Orcid Image ;   Muhsin Zahid Ugur2 Author Orcid Image ;   Yasemin Ozsurekci3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Coppola C, Andrew J, Ruggieri M, La Spina M, La Bianca M, Leonardi S. Machine learning prediction of oxygen therapy in pediatric Mycoplasma pneumoniae pneumonia. Frontiers in Digital Health 2026;8 View
  2. Shetty A, Shetty S, Hegde P, Shetty S, Shetty N. A leakage-controlled and SHAP driven machine learning framework for paediatric respiratory disease classification using Indian hospital EHR data. BMC Medical Informatics and Decision Making 2026 View