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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.

Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review

2022Frontiers in OncologyJournalOpen access

10.3389/fonc.2022.976168 Full text12 citations

Authors

5 authors across 4 institutions in 3 countries.

J. AdeoyeFirst author
as printed: John Adeoye
Abdul-Warith Olaitan Akinshipo
- University of Lagos (NG)
as printed: Abdulwarith Akinshipo
Mohamad Koohi-Moghadam
Peter Thomson
Y.X. SuSenior authorCorresponding
as printed: Yu-Xiong Su

Fields

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

AI in cancer detectionlevel 3 · 0.30
Artificial Intelligence in Healthcare and Educationlevel 3 · 0.26
Global Cancer Incidence and Screeninglevel 3 · 0.16

Sources

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

openalexseen September 9, 2026
2022 · Frontiers in Oncology · 12 citations
https://openalex.org/W4311063913

Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review · Sankore