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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.

Victor Opoku‐Yamoah · Sankore

Victor Opoku‐Yamoah

ORCID, self-asserted

ORCID 0000-0002-7608-8040

This profile carries an ORCID the researcher published on their own record — the strongest evidence available short of a human confirming it.

Publications

4

Citations

48

h-index

3

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

1

Publications

4 works in the graph, newest first.

Protocol for an Integrative Meta‐Analysis of the Application of Machine Learning Algorithms in the Prediction of Chronic Disease Risks and Outcomes
2025Chronic Diseases and Translational MedicineJournalOpen access3 citations10.1002/cdt3.70007
Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical challenges
2024Chronic Diseases and Translational MedicineJournalOpen access27 citations10.1002/cdt3.137
Predictive modelling of metabolic syndrome in Ghanaian diabetic patients: an ensemble machine learning approach
2024Journal of Diabetes & Metabolic DisordersJournalOpen access9 citations10.1007/s40200-024-01491-7
Conceptualised psycho-medical footprint for health status outcomes and the potential impacts for early detection and prevention of chronic diseases in the context of 3P medicine
2023The EPMA JournalJournalOpen access9 citations10.1007/s13167-023-00344-2