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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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What we cover

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.

Variance Threshold Feature Selection for Early Risk Analysis of Cervical Cancer : A Comparative Analysis of Machine Learning Models.

2025NIPES Journal of Science and Technology ResearchJournalOpen access

10.37933/nipes/7.4.2025.si335 Full text0 citations

Authors

6 authors.

Kazeem Moses AbiodunFirst author
as printed: Moses Kazeem Abiodun
Roseline Oluwaseun Ogundokun
- Landmark University (NG)
Barnabas Ayomide Segun
- Landmark University (NG)
Adams Olumide Victor
- Landmark University (NG)
Akinola Abolade Emmanuel
Ekene Lawrence NwaoliseSenior author
- Landmark University (NG)

Fields

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

AI in cancer detectionlevel 3 · 0.54
Cervical Cancer and HPV Researchlevel 3 · 0.14
Machine Learning in Healthcarelevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2025 · NIPES Journal of Science and Technology Research · 0 citations
https://openalex.org/W7125584443

Variance Threshold Feature Selection for Early Risk Analysis of Cervical Cancer : A Comparative Analysis of Machine Learning Models. · Sankore