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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-Based Early Prediction of Opportunistic Infections Among People Living with HIV

2026International Journal of Latest Technology in Engineering Management & Applied ScienceJournalOpen access

10.51583/ijltemas.2026.150600135 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Udoinyang InyangFirst author
- University of Uyo (NG)
as printed: Udoinyang G. Inyang
Abraham C. Inyang
- University of Uyo (NG)
Asukwo Onukak
as printed: Asukwo E Onukak
Emmanuel A. UbongSenior author
- Federal University of Technology (NG)

Fields

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

HIV/AIDS Research and Interventionslevel 3 · 0.70
Pneumocystis jirovecii pneumonia detection and treatmentlevel 3 · 0.07
HIV Research and Treatmentlevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Latest Technology in Engineering Management & Applied Science · 0 citations
https://openalex.org/W7169558978

Machine Learning-Based Early Prediction of Opportunistic Infections Among People Living with HIV · Sankore