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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 measles patients using machine learning classifiers: a comparative study

2023Bulletin of the National Research Centre/Bulletin of the National Research CenterJournalOpen access

10.1186/s42269-023-01079-w Full text13 citations

Authors

7 authors across 2 institutions in 1 country.

Robert GyebiFirst author
- Kwame Nkrumah University of Science and Technology (GH)
Gabriel Asare Okyere
- Kwame Nkrumah University of Science and Technology (GH)
Emmanuel Kweku Nakua
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Emmanuel Kwaku Nakua
Franklin Aseidu-Bekoe
- Ghana Health Service (GH)
Jane Serwaa Akoto Nti
- Kwame Nkrumah University of Science and Technology (GH)
Emmanuel Owusu Ansah
- Kwame Nkrumah University of Science and Technology (GH)
Felix Agyemang OpokuSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Digital Imaging for Blood Diseaseslevel 3 · 1.00
Artificial Intelligence in Healthcarelevel 3 · 0.99
Virology and Viral Diseaseslevel 3 · 0.99

Sources

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

openalexseen September 5, 2026
2023 · Bulletin of the National Research Centre/Bulletin of the National Research Center · 13 citations
https://openalex.org/W4385272614

Prediction of measles patients using machine learning classifiers: a comparative study · Sankore