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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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MACHINE LEARNING MODELS FOR CLASSIFICATION AND PREDICTION OF PREECLAMPSIA IN KADUNA, NIGERIA

2024FUDMA Journal of SciencesJournalOpen access

10.33003/fjs-2024-0806-2731 Full text1 citations

Authors

5 authors across 5 institutions in 3 countries.

Agozie H. EnehFirst author
- University of Nigeria (NG)
as printed: Agozie Eneh
Deborah Ebem
- University of Nigeria (NG)
as printed: Deborah U. Ebem
Eli Adama Jiya
- Federal University Dutsin-Ma (NG)
as printed: Eli A. Jiya
Emmanuel Etuh
- Kwararafa University (NG)
Bulus RaskebSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Pregnancy and preeclampsia studieslevel 3 · 1.00
Neonatal Respiratory Health Researchlevel 3 · 0.94
Gestational Diabetes Research and Managementlevel 3 · 0.92

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2024 · FUDMA Journal of Sciences · 1 citations
https://openalex.org/W4404834646

MACHINE LEARNING MODELS FOR CLASSIFICATION AND PREDICTION OF PREECLAMPSIA IN KADUNA, NIGERIA · Sankore