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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.

Prediction of heart disease outcomes using machine learning classifier

2023Indonesian Journal of Electrical Engineering and Computer ScienceJournalOpen access

10.11591/ijeecs.v30.i2.pp917-926 Full text3 citations

Authors

6 authors across 2 institutions in 1 country.

Kehinde Marvelous AdeniyiFirst author
- Ladoke Akintola University of Technology (NG)
Olasunkanmi James OLADAPO
- Ladoke Akintola University of Technology (NG)
as printed: Olasunkanmi James Oladapo
Timothy Oluwaseun Araoye
- University of Nigeria (NG)
Taiwo Felix Adebayo
- University of Nigeria (NG)
Sochima Vincent Egoigwe
- University of Nigeria (NG)
Matthew Chinedu OdoSenior author
- University of Nigeria (NG)
as printed: Mathew Chinedu Odo

Fields

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

Artificial Intelligence 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
2023 · Indonesian Journal of Electrical Engineering and Computer Science · 3 citations
https://openalex.org/W4321269788

Prediction of heart disease outcomes using machine learning classifier · Sankore