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.

A Systematic Review of Machine Learning Models for Predicting Type 2 Diabetes Mellitus Using Electronic Health Records

2025Asian Journal of Electrical SciencesJournalOpen access

10.70112/ajes-2025.14.2.4292 Full text1 citations

Authors

4 authors.

Oduware C. OdigieFirst author
- Babcock University (NG)
Folasade Y. Ayankoya
- Babcock University (NG)
Shade Oluwakemi Kuyoro
- Babcock University (NG)
as printed: Shade O. Kuyoro
Ayodeji G. AbiodunSenior author
- Babcock University (NG)

Fields

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

Artificial Intelligence in Healthcarelevel 3 · 0.43
Machine Learning in Healthcarelevel 3 · 0.31
Diabetes, Cardiovascular Risks, and Lipoproteinslevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2025 · Asian Journal of Electrical Sciences · 1 citations
https://openalex.org/W7119922532

A Systematic Review of Machine Learning Models for Predicting Type 2 Diabetes Mellitus Using Electronic Health Records · Sankore