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.

Comparative analysis of selected machine learning models for the prediction of ovarian cancer

2025Science World JournalJournalOpen access

10.4314/swj.v20i4.24 Full text0 citations

Authors

6 authors across 5 institutions in 2 countries.

Ochidi IkaniFirst author
- Nasarawa State University (NG)
G.I.O Aimufua
- University of Jos (NG)
Choji Davou Nyap
- Nasarawa State University (NG)
Morufu Olalere
- Nasarawa State University (NG)
Binyamin Adeniyi Ajayi
- Federal University of Technology Owerri (NG)
Muhammad Umar AbdullahiSenior author
- Kaduna State University (NG)

Fields

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

AI in cancer detectionlevel 3 · 0.38
Ovarian cancer diagnosis and treatmentlevel 3 · 0.31
Machine Learning in Bioinformaticslevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2025 · Science World Journal · 0 citations
https://openalex.org/W7138906417

Comparative analysis of selected machine learning models for the prediction of ovarian cancer · Sankore