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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.

PREDICTIVE ASSESSMENT OF POST-COVID-19 IMPACT USING ARTIFICIAL INTELLIGENCE NEURAL NETWORK MODELS

2023JournalOpen access

10.7176/jnsr/14-6-06 Full text0 citations

Authors

3 authors across 2 institutions in 1 country.

Adedeji AdebayoFirst author
- Ambrose Alli University (NG)
- Auchi Polytechnic (NG)
as printed: ADEDEJI ADEBAYO
S.E. NNEBE
- Ambrose Alli University (NG)
- Auchi Polytechnic (NG)
F.I. SADIQSenior author
- Ambrose Alli University (NG)
- Auchi Polytechnic (NG)

Fields

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

COVID-19 diagnosis using AIlevel 3 · 1.00
Radiomics and Machine Learning in Medical Imaginglevel 3 · 0.99
AI in cancer detectionlevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2023 · 0 citations
https://openalex.org/W4376140283

PREDICTIVE ASSESSMENT OF POST-COVID-19 IMPACT USING ARTIFICIAL INTELLIGENCE NEURAL NETWORK MODELS · Sankore