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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.

Predicting and improving diagnosis of tuberculosis outcomes in South Africa using machine learning techniques · Sankore

Predicting and improving diagnosis of tuberculosis outcomes in South Africa using machine learning techniques

2025PLOS Global Public HealthJournalOpen access

10.1371/journal.pgph.0004674 Full text2 citations

Authors

4 authors across 6 institutions in 6 countries.

Moses AsoriFirst author
Desmond Mbe‐Nyire Mpuure
as printed: Desmond Mbe-Nyire Mpuure
Daniel KateyCorresponding
Razak M GyasiSenior authorCorresponding
- African Population and Health Research Center (KE)
- Kumasi Technical University (GH)
as printed: Razak M. Gyasi

Fields

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

Tuberculosis Research and Epidemiologylevel 3 · 0.52
COVID-19 diagnosis using AIlevel 3 · 0.03
Artificial Intelligence in Healthcarelevel 3 · 0.03

Sources

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

openalexseen September 8, 2026
2025 · PLOS Global Public Health · 2 citations
https://openalex.org/W4416011851