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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.

Machine learning techniques for stroke prediction: A systematic review of algorithms, datasets, and regional gaps

2025International Journal of Medical InformaticsJournalOpen access

10.1016/j.ijmedinf.2025.106041 Full text24 citations

Authors

6 authors across 5 institutions in 2 countries.

Afeez Adekunle SoladoyeFirst author
- Federal University Oye Ekiti (NG)
Nicholas Aderinto
- Ladoke Akintola University of Technology (NG)
Mayowa Racheal Popoola
Ibrahim A. Adeyanju
- Federal University Oye Ekiti (NG)
Ayokunle Osonuga
David B. OlawadeSenior authorCorresponding

Fields

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

Acute Ischemic Stroke Managementlevel 3 · 0.58
Artificial Intelligence in Healthcarelevel 3 · 0.13
Machine Learning in Healthcarelevel 3 · 0.05

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 Medical Informatics · 24 citations
https://openalex.org/W4412391853

Machine learning techniques for stroke prediction: A systematic review of algorithms, datasets, and regional gaps · Sankore