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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88732, first published .
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Machine Learning–Based Prediction of Culture-Confirmed Neonatal Sepsis in a Tertiary Neonatal Intensive Care Unit: Retrospective Cohort Study

Machine Learning–Based Prediction of Culture-Confirmed Neonatal Sepsis in a Tertiary Neonatal Intensive Care Unit: Retrospective Cohort Study

Eman Badran   1 , MRCPCH, MD ;   Oraib Al-Smadi   2 , MD ;   Loiy T Algazo   1 , MD ;   Alaa T Al Ghazo   3 , PhD ;   Arwa Al Anber   4 , MD, PhD ;   Areej Sharaqa   1 , BSc, PharmD ;   Lena Abu-Argoub   1 , MD ;   Shatha Al Jaberi   1 , MD ;   Abdulrahman Alhanbali   5 , MD ;   Taimein Yacoub   1 , MSc ;   Shahd Rihan   1 , MD ;   Hala Al-Jaberi   1 , MD

1 Department of Pediatrics, Neonatal Division, School of Medicine, University of Jordan, Amman, Jordan

2 Department of Neonatology, Princess Rahmah Teaching Hospital, Ministry of Health, Irbid, Jordan

3 Department of Mechatronics Engineering, Faculty of Engineering, Hashemite University, Zarqa, Jordan

4 Department of Pharmacology Public Health and Clinical Skills, Faculty of Medicine, Hashemite University, Zarqa, Jordan

5 Department of Pediatrics, The University of Texas Medical Branch at Galveston, Galveston, TX, United States

Corresponding Author:

  • Eman Badran, MRCPCH, MD
  • Department of Pediatrics, Neonatal Division
  • School of Medicine, University of Jordan
  • Queen Rania Street
  • Amman 11942
  • Jordan
  • Phone: 962 795608288
  • Fax: 962 6 5300431
  • Email: emanfbadran@gmail.com