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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 based Model for the Prediction of Fasting Blood Sugar Level towards Cardiovascular Disease Control for the Enhancement of Public Health

2023International Journal of Computer ApplicationsJournalOpen access

10.5120/ijca2023922622 Full text3 citations

Authors

4 authors across 2 institutions in 1 country.

Anietie P. EkongFirst author
- Akwa Ibom State University (NG)
as printed: Anietie Ekong
Edward N. Udo
- University of Uyo (NG)
as printed: Edward Udo
Otuekong Ekong
- Akwa Ibom State University (NG)
Saviour InyangSenior author
- Akwa Ibom State University (NG)
as printed: Savior Inyang

Fields

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

Artificial Intelligence in Healthcarelevel 3 · 0.65
Cardiovascular Health and Risk Factorslevel 3 · 0.56

Sources

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

openalexseen September 9, 2026
2023 · International Journal of Computer Applications · 3 citations
https://openalex.org/W4353042393

Machine Learning based Model for the Prediction of Fasting Blood Sugar Level towards Cardiovascular Disease Control for the Enhancement of Public Health · Sankore