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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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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.

Enhancing Maternal Outcome Prediction Using Explainable Artificial Intelligence for Women of Childbearing Age

2023Asian Journal of Science and Applied TechnologyJournalOpen access

10.51983/ajsat-2023.12.2.4072 Full text2 citations

Authors

9 authors across 4 institutions in 1 country.

Chukwudi Obinna NwokoroFirst author
- University of Uyo (NG)
Udoinyang Inyang
- University of Uyo (NG)
as printed: Udoinyang G. Inyang
Imo J. Eyoh
- University of Uyo (NG)
U. A. Umoh
- University of Uyo (NG)
Onyeabochukwu Augustine Duke
- University of Nigeria Teaching Hospital (NG)
Kelechi C. Nwokoro
- University of Port Harcourt Teaching Hospital (NG)
Peace Opara
- University of Port Harcourt Teaching Hospital (NG)
as printed: Peace I. Opara
Chinmanma Obinachi
- Rivers State University (NG)
Joseph U. KingsleySenior author
- University of Uyo (NG)

Fields

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

Pregnancy and preeclampsia studieslevel 3 · 0.49
Machine Learning in Healthcarelevel 3 · 0.49
Statistical Methods in Epidemiologylevel 3 · 0.47

Sources

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

openalexseen September 9, 2026
2023 · Asian Journal of Science and Applied Technology · 2 citations
https://openalex.org/W4391894200

Enhancing Maternal Outcome Prediction Using Explainable Artificial Intelligence for Women of Childbearing Age · Sankore