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Authors' Responses to Peer-Reviews (103)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71098, first published .
Authors’ Response to Peer Reviews of “Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development”

Authors’ Response to Peer Reviews of “Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development”

Authors’ Response to Peer Reviews of “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 Tweetations Metrics

Oguzhan Serin   1 , MD ;   Izzet Turkalp Akbasli   1 , MD ;   Sena Bocutcu Cetin   1 , MD ;   Busra Koseoglu   1 , MD ;   Ahmet Fatih Deveci   2 , MSc ;   Muhsin Zahid Ugur   2 , PhD ;   Yasemin Ozsurekci   3 , MD

1 Department of Pediatrics, Hacettepe University Medical School, Ankara, Turkey

2 Department of Health Information Systems, University of Health Sciences, Istanbul, Turkey

3 Department of Pediatric Infectious Diseases, Hacettepe University Medical School, Ankara, Turkey

Corresponding Author:

  • Izzet Turkalp Akbasli, MD
  • Department of Pediatrics
  • Hacettepe University Medical School
  • Gevher Nesibe Avenue, Altindag
  • Ankara, 06230
  • Turkey
  • Phone: 90 3051350
  • Email: izzetakbasli@gmail.com