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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.

Comparative Evaluation of Multilayer Perceptron, Random Forest, and Support Vector Machine for Sepsis Classification Using Longitudinal Structured Clinical Data · Sankore

Comparative Evaluation of Multilayer Perceptron, Random Forest, and Support Vector Machine for Sepsis Classification Using Longitudinal Structured Clinical Data

2026International Journal of Management and Data AnalyticsJournalOpen access

10.5281/zenodo.22102793 Full text0 citations

Authors

5 authors across 3 institutions in 1 country.

OLAKEKAN AKINBOSOYE OKEWALEFirst author
- Ajayi Crowther University (NG)
as printed: Okewale, Olalekan Akinbosoye
Esther Oduntan
- Federal University of Technology (NG)
as printed: Oduntan, Esther
CHIBUZO BENJAMIN ONUIKE
- Federal University of Technology Owerri (NG)
as printed: Onuike, Chibuzo Benjamin
Ojo, Olufemi S.
- Ajayi Crowther University (NG)
SHOLANKE OLUWAFUNMBI BENEDICTSenior author
- Ajayi Crowther University (NG)
as printed: Benedict, Sholanke Oluwafunmbi

Fields

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

Sepsis Diagnosis and Treatmentlevel 3 · 0.97
Machine Learning in Healthcarelevel 3 · 0.01
Neonatal and Maternal Infectionslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Management and Data Analytics · 0 citations
https://openalex.org/W7204213169