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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.

Determinants of neonatal sepsis outcome: Harnessing machine learning algorithms for enhanced clinical decision-making

2025Microbes and Infectious Diseases /Microbes and Infectious DiseasesJournalOpen access

10.21608/mid.2025.332977.2327 Full text0 citations

Authors

10 authors across 2 institutions in 1 country.

T.K. SamsonFirst author
- Bowen University (NG)
as printed: Timothy Kayode Samson
D.A Akinboro
- Bowen University (NG)
A C Omoyajowo
- Bowen University (NG)
as printed: A.C Omoyajowo,
Ezra Olatunde Ogundare
- Ekiti State University (NG)
as printed: E.O. Ogundare,
S. O. Salawu
- Bowen University (NG)
as printed: S.O. Salawu
E.I. Akinola
- Bowen University (NG)
O.Y. Oludoun
- Bowen University (NG)
J. A. Owolabi
- Bowen University (NG)
as printed: J.A. Owolabi
Olasupo Ajayi
- Bowen University (NG)
as printed: O.O. Ajayi
O.M. OgunlaranSenior author
- Bowen University (NG)

Fields

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

Sepsis Diagnosis and Treatmentlevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2025 · Microbes and Infectious Diseases /Microbes and Infectious Diseases · 0 citations
https://openalex.org/W4406273794

Determinants of neonatal sepsis outcome: Harnessing machine learning algorithms for enhanced clinical decision-making · Sankore