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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 prediction of kangaroo mother care in Sierra Leone: a comparative study of feature selection techniques and classification algorithms

2025International Journal of Medical InformaticsJournalOpen access

10.1016/j.ijmedinf.2025.106166 Full text2 citations

Authors

7 authors across 9 institutions in 4 countries.

Augustus OsborneFirst author
- Sierra Leone Urban Research Centre (SL)
- Sierra Leone Agricultural Research Institute (SL)
Afeez A. Soladoye
- Federal University Oye Ekiti (NG)
- Adeleke University (NG)
Afeez Adekunle Soladoye
- Federal University Oye Ekiti (NG)
- Adeleke University (NG)
as printed: Afeez A. Soladoye
Kobloobase O. Usani
Ademola Ezekiel Adekoya
- University of Ibadan (NG)
as printed: Ayomide Israel Adekoya
Ojima Z. Wada
David B. OlawadeSenior author

Fields

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

Infant Development and Preterm Carelevel 3 · 0.94
Mobile Health and mHealth Applicationslevel 3 · 0.01
Infant Nutrition and Healthlevel 3 · 0.01

Sources

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

openalexseen September 24, 2026
2025 · International Journal of Medical Informatics · 2 citations
https://openalex.org/W4415559656

Machine learning prediction of kangaroo mother care in Sierra Leone: a comparative study of feature selection techniques and classification algorithms · Sankore