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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.

Application of Synthetic Minority Over-Sampling Technique to Mitigate Class Imbalance in Stroke Prediction

2023Advances in Multidisciplinary & Scientific Research Journal PublicationJournalOpen access

10.22624/aims/accracrossborder2023v2p2p40 Full text0 citations

Authors

7 authors across 2 institutions in 2 countries.

Fatimah Adamu-FikaFirst author
Deborah Ifeoluwa Ayeku
Aisha Tijjani Ramalan
Henry Onyeoma Mafua
Aanuoluwapo Enyojo Baba-Onoja
Tsentob Joy Samson
- Academic City College University (GH)
Onyinye Vivian OkpokoSenior author
- Academic City College University (GH)

Fields

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

Imbalanced Data Classification Techniqueslevel 3 · 0.93
Artificial Intelligence in Healthcarelevel 3 · 0.92

Sources

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

openalexseen September 5, 2026
2023 · Advances in Multidisciplinary & Scientific Research Journal Publication · 0 citations
https://openalex.org/W4413302511

Application of Synthetic Minority Over-Sampling Technique to Mitigate Class Imbalance in Stroke Prediction · Sankore