Machine learning models for predicting postpartum convulsions using clinical indicators from PMA Ethiopia data.
Overview
- Department of Midwifery, College of Health Science, Woldia University,Woldia City, Ethiopia
- Department of Midwifery, College of Health Science, Debark University,Debark City, Ethiopia
Abstract
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 10 keywords, 13 MeSH terms, 52 references.
Cite
This paper
Mulugeta, C., Emagneneh, T., Yetwale, A., Yimer, N. B., Ayele, M., Negese, K., Tadese, S., & Alamrew, A. (2026). Machine learning models for predicting postpartum convulsions using clinical indicators from PMA Ethiopia data. Scientific reports, 16(1), 24835. https://
BibTeX
@article{mulugeta2026mac
author = {Mulugeta, Chalie and Emagneneh, Tadele and Yetwale, Aynalem and Yimer, Nigus Bililign and Ayele, Mulat and Negese, Ketemaw and Tadese, Shimelis and Alamrew, Abebaw},
title = {{Machine learning models for predicting postpartum convulsions using clinical indicators from PMA Ethiopia data}},
journal = {Scientific reports},
year = {2026},
month = jun,
volume = {16},
number = {1},
pages = {24835},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/
url = {https://
pmid = {42225886},
pmcid = {PMC13457863}
}
RIS
TY - JOUR
AU - Mulugeta, Chalie
AU - Emagneneh, Tadele
AU - Yetwale, Aynalem
AU - Yimer, Nigus Bililign
AU - Ayele, Mulat
AU - Negese, Ketemaw
AU - Tadese, Shimelis
AU - Alamrew, Abebaw
TI - Machine learning models for predicting postpartum convulsions using clinical indicators from PMA Ethiopia data
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/
VL - 16
IS - 1
SP - 24835
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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"URL": "https://
"language": "en",
"issued": {
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