Usability and Workflow Integration of a Machine Learning-Derived Neonatal Risk Predictor in Kenyan Neonatal Units: Multisite User-Centered Pilot Evaluation.
- DOI
- 10.2196/94828
- Published
- 2026 Sep 9
- Container
- JMIR human factors
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- Not recorded
- Open access
- unknown
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BibTeX
@article{allodium:10.2196/94828,
title = {Usability and Workflow Integration of a Machine Learning-Derived Neonatal Risk Predictor in Kenyan Neonatal Units: Multisite User-Centered Pilot Evaluation.},
author = {Nyatuka RD and Macharia P and Kakhata E and Siva F and Muriithi B and Jabin MSR},
year = {2026},
journal = {JMIR human factors},
doi = {10.2196/94828},
url = {https://doi.org/10.2196/94828}
}RIS
TY - JOUR TI - Usability and Workflow Integration of a Machine Learning-Derived Neonatal Risk Predictor in Kenyan Neonatal Units: Multisite User-Centered Pilot Evaluation. AU - Nyatuka RD AU - Macharia P AU - Kakhata E AU - Siva F AU - Muriithi B AU - Jabin MSR PY - 2026 JO - JMIR human factors DO - 10.2196/94828 UR - https://doi.org/10.2196/94828 ER -
APA
RD, N., P, M., E, K., F, S., B, M., & MSR, J. (2026). Usability and Workflow Integration of a Machine Learning-Derived Neonatal Risk Predictor in Kenyan Neonatal Units: Multisite User-Centered Pilot Evaluation.. JMIR human factors. https://doi.org/10.2196/94828
Source records
- pubmed · retrieved 2026-09-25T00:26:12.216Z