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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.

Rethinking hyperparameter optimization for efficient and explainable machine learning in civic health decision-making: empirical evidence from malaria severity prediction

2026BMC Medical Informatics and Decision MakingJournalOpen access

10.1186/s12911-026-03732-6 Full text0 citations

Authors

6 authors across 5 institutions in 2 countries.

Olushina Olawale AweFirst authorCorresponding
as printed: Olushina Olawale Awe
Julia Soares de Souza
Erson Kaue Bittencourt Cruz
Olukorede Olabanji AdekunleCorresponding
- University of Ilorin Teaching Hospital (NG)
Paul J. Owolabi
- Covenant University (NG)
Emmanuel Olusola OladejiSenior author
- University of Lagos (NG)

Fields

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

Malaria Research and Controllevel 3 · 0.46
Digital Imaging for Blood Diseaseslevel 3 · 0.17
Artificial Intelligence in Healthcare and Educationlevel 3 · 0.07

Sources

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

openalexseen September 9, 2026
2026 · BMC Medical Informatics and Decision Making · 0 citations
https://openalex.org/W7172121188

Rethinking hyperparameter optimization for efficient and explainable machine learning in civic health decision-making: empirical evidence from malaria severity prediction · Sankore