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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.

Stroke risk prediction: a deep learning approach for identifying high-risk patients

2025Discover DataJournalOpen access

10.1007/s44248-025-00070-2 Full text4 citations

Authors

6 authors across 5 institutions in 3 countries.

Afeez Adekunle SoladoyeFirst author
- Federal University Oye Ekiti (NG)
as printed: Afeez A. Soladoye
Kazeem M. Olagunju
- Landmark University (NG)
Sunday Adeola AjagbeCorresponding
- University of Zululand (ZA)
as printed: Sunday A. Ajagbe
Ibrahim A. Adeyanju
- Federal University Oye Ekiti (NG)
Precious I. Ogie
Pragasen MudaliSenior author

Fields

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

Acute Ischemic Stroke Managementlevel 3 · 1.00
Artificial Intelligence in Healthcarelevel 3 · 0.99
Machine Learning in Healthcarelevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2025 · Discover Data · 4 citations
https://openalex.org/W4412708965

Stroke risk prediction: a deep learning approach for identifying high-risk patients · Sankore