Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Predictive analysis on the factors associated with birth Outcomes: A machine learning perspective

2024International Journal of Medical InformaticsJournal

10.1016/j.ijmedinf.2024.105529 Full text10 citations

Authors

3 authors across 2 institutions in 2 countries.

Atinuke AdebanjiFirst author
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Atinuke Olusola Adebanji
Clement Asare
- Kwame Nkrumah University of Science and Technology (GH)
Samuel Asante GyamerahSenior authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Global Maternal and Child Healthlevel 3 · 0.57
Maternal and Perinatal Health Interventionslevel 3 · 0.04
Maternal and Neonatal Healthcarelevel 3 · 0.02

Sources

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

openalexseen September 5, 2026
2024 · International Journal of Medical Informatics · 10 citations
https://openalex.org/W4399802689

Predictive analysis on the factors associated with birth Outcomes: A machine learning perspective · Sankore