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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.

Interpretable Machine Learning for Mortality Risk Stratification in Hantavirus Infection: A Global Study Across Hemorrhagic Fever with Renal Syndrome and Hantavirus Cardiopulmonary Syndrome

2026Cureus Journal of Computer Science.JournalOpen access

10.7759/s44389-026-00217-5 Full text0 citations

Authors

3 authors.

Yetunde O EnigbokanFirst author
- The Federal Polytechnic, Ado-Ekiti (NG)
Akeem Adekunle Abiona
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: Akeem A Abiona
Micheal O AjinajaSenior author
- The Federal Polytechnic, Ado-Ekiti (NG)

Fields

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

Viral Infections and Vectorslevel 3 · 0.97
Advanced Technologies in Various Fieldslevel 3 · 0.00
Respiratory viral infections researchlevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · Cureus Journal of Computer Science. · 0 citations
https://openalex.org/W7202157113

Interpretable Machine Learning for Mortality Risk Stratification in Hantavirus Infection: A Global Study Across Hemorrhagic Fever with Renal Syndrome and Hantavirus Cardiopulmonary Syndrome · Sankore