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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.

MACHINE LEARNING TECHNIQUES FOR PREDICTION OF COVID-19 IN POTENTIAL PATIENTS

2023FUDMA Journal of SciencesJournalOpen access

10.33003/fjs-2023-0704-1901 Full text1 citations

Authors

4 authors across 2 institutions in 1 country.

Adigun J. OyeranmiFirst author
- Yaba College of Technology (NG)
as printed: Oyeranmi Adigun
Mohammed Mutiu Rufai
- Yaba College of Technology (NG)
Folasade Mercy Okikiola
- Federal University of Technology (NG)
S. Olugbenga OlukumoroSenior author
- Yaba College of Technology (NG)
as printed: Sunday Olukumoro

Fields

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

COVID-19 diagnosis using AIlevel 3 · 1.00
Anomaly Detection Techniques and Applicationslevel 3 · 0.99
COVID-19 epidemiological studieslevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2023 · FUDMA Journal of Sciences · 1 citations
https://openalex.org/W4386449466

MACHINE LEARNING TECHNIQUES FOR PREDICTION OF COVID-19 IN POTENTIAL PATIENTS · Sankore