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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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Comparative performance of machine learning models in predicting arsenic exposure risk in Ghana’s riverine ecosystems · Sankore

Comparative performance of machine learning models in predicting arsenic exposure risk in Ghana’s riverine ecosystems

2025BMC Environmental ScienceJournalOpen access

10.1186/s44329-025-00040-8 Full text1 citations

Authors

4 authors.

Senyefia Bosson-AmedenuFirst authorCorresponding
- Takoradi Technical University (GH)
Anthony Joe Turkson
- Takoradi Technical University (GH)
as printed: Ebenezer Boakye
Emmanuel Ayitey
- Takoradi Technical University (GH)
John Awuah AddorSenior author
- Takoradi Technical University (GH)

Fields

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

Arsenic contamination and mitigationlevel 3 · 0.57
Heavy metals in environmentlevel 3 · 0.06
Mining and Resource Managementlevel 3 · 0.05

Sources

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

openalexseen September 5, 2026
2025 · BMC Environmental Science · 1 citations
https://openalex.org/W4416935320