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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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What we cover

Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Early Prediction of Maternal Health Risks Using Machine Learning Techniques

2025International Journal of Emerging Multidisciplinaries Computer Science & Artificial IntelligenceJournalOpen access

10.54938/ijemdcsai.2025.04.1.482 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Zayyanu YunusaFirst authorCorresponding
- Bayero University Kano (NG)
as printed: Zayyanu Yunusa *
Yakubu Ibrahim
- Yobe State University (NG)
Yakubu Ibrahim
- Yobe State University (NG)
Aliyu Rabiu ShuaibuSenior author
- Bayero University Kano (NG)
as printed: Aliyu Shuaibu

Fields

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

Gestational Diabetes Research and Managementlevel 3 · 0.36
Preterm Birth and Chorioamnionitislevel 3 · 0.14
Pregnancy and preeclampsia studieslevel 3 · 0.09

Sources

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

openalexseen September 9, 2026
2025 · International Journal of Emerging Multidisciplinaries Computer Science & Artificial Intelligence · 0 citations
https://openalex.org/W4415761519

Early Prediction of Maternal Health Risks Using Machine Learning Techniques · Sankore