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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.

UTILIZING A FUSION OF MACHINE LEARNING TECHNIQUES FOR DIABETES MELLITUS SUBTYPES CLASSIFICATION AND IDENTIFICATION

2024FUDMA Journal of SciencesJournalOpen access

10.33003/fjs-2024-0803-2510 Full text2 citations

Authors

5 authors across 2 institutions in 1 country.

Malik Adeiza RufaiFirst author
- Federal University Lokoja (NG)
- Federal University of Technology Minna (NG)
Muhammad Abdullahi
- Federal University of Technology Minna (NG)
as printed: Muhammad Bashir Abdullahi
Opayemi Aderike Abisoye
Opayemi Aderike Abisoye
Oluwaseun A. OjerindeSenior author
as printed: Oluwaseun Adeniyi Ojerinde

Fields

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

Artificial Intelligence in Healthcarelevel 3 · 1.00
Machine Learning in Healthcarelevel 3 · 0.97
AI in cancer detectionlevel 3 · 0.94

Sources

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

openalexseen September 9, 2026
2024 · FUDMA Journal of Sciences · 2 citations
https://openalex.org/W4410924010

UTILIZING A FUSION OF MACHINE LEARNING TECHNIQUES FOR DIABETES MELLITUS SUBTYPES CLASSIFICATION AND IDENTIFICATION · Sankore