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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.

A Semantic Text Similarity Model for Predicting Medical Transcription Data

2026Cureus Journal of Computer Science.JournalOpen access

10.7759/s44389-026-00062-6 Full text0 citations

Authors

4 authors.

Daniel FolorunsoFirst author
- Federal University of Agriculture, Abeokuta (NG)
as printed: Daniel A Folorunso
Adio T. Akinwale
- Federal University of Agriculture, Abeokuta (NG)
as printed: Adio T Akinwale
Alaba O. Adejimi
- Federal University of Agriculture, Abeokuta (NG)
as printed: Alaba O Adejimi
Oluwaseun I AdebisiSenior author
- Federal University of Agriculture, Abeokuta (NG)

Fields

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

Topic Modelinglevel 3 · 0.58
Machine Learning in Healthcarelevel 3 · 0.32
Biomedical Text Mining and Ontologieslevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2026 · Cureus Journal of Computer Science. · 0 citations
https://openalex.org/W7157000907

A Semantic Text Similarity Model for Predicting Medical Transcription Data · Sankore