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Published on in Vol 13 (2026)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94828, first published .
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Usability and Workflow Integration of a Machine Learning–Derived Neonatal Risk Predictor in Kenyan Neonatal Units: Multisite User-Centered Pilot Evaluation

Usability and Workflow Integration of a Machine Learning–Derived Neonatal Risk Predictor in Kenyan Neonatal Units: Multisite User-Centered Pilot Evaluation

Ronald Danny Nyatuka   1 , PhD ;   Paul Macharia   1 , PhD ;   Esther Kakhata   1 , PhD ;   Faith Siva   1 , M.Sc ;   Betsy Muriithi   1 , PhD ;   Md Shafiqur Rahman Jabin   2, 3 , PhD

1 School of Computing and Engineering Sciences, Strathmore University, Nairobi, Nairobi County, Kenya

2 Department of Medicine and Optometry, Linnaeus University, Kalmar, Kalmar, Sweden

3 Faculty of Health and Social Care, University of Bradford, Bradford, England, United Kingdom

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