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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.

Text Mining and Machine Learning Framework for Predicting Sickle Cell Disease Research Findings in Nigeria

2026ABUAD Journal of Engineering Research and Development (AJERD)JournalOpen access

10.53982/ajerd.2026.0901.12-j Full text0 citations

Authors

5 authors.

Joshua Arome AyegbaFirst author
- University of Abuja (NG)
Olumide Owolabi Owolabi
- University of Abuja (NG)
Hashim Bisallah
- University of Abuja (NG)
as printed: Hashim Ibrahim Bisallah
Fatimah Binta Abdullahi
- University of Abuja (NG)
as printed: Fatimah Binta Abdullahi Abdullahi
Christopher Ubaka EbeloguSenior author
- University of Abuja (NG)

Fields

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

Biomedical Text Mining and Ontologieslevel 3 · 0.06
Hemoglobinopathies and Related Disorderslevel 3 · 0.04
Artificial Intelligence in Healthcare and Educationlevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2026 · ABUAD Journal of Engineering Research and Development (AJERD) · 0 citations
https://openalex.org/W7141723012

Text Mining and Machine Learning Framework for Predicting Sickle Cell Disease Research Findings in Nigeria · Sankore