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.

Machine Learning Approach for Classification of Sickle Cell Anemia in Teenagers Based on Bayesian Network

2023Journal of Information Systems and InformaticsJournalOpen access

10.51519/journalisi.v5i4.629 Full text10 citations

Authors

5 authors.

Blessing EkongFirst author
- Akwa Ibom State University (NG)
Otuekong Ekong
- Akwa Ibom State University (NG)
Abasiama Silas
- Akwa Ibom State University (NG)
Anthony Effiong Edet
- Akwa Ibom State University (NG)
Bright WilliamSenior author
- Akwa Ibom State University (NG)

Fields

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

Hemoglobinopathies and Related Disorderslevel 3 · 0.99
Iron Metabolism and Disorderslevel 3 · 0.92
Statistical Methods in Epidemiologylevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2023 · Journal of Information Systems and Informatics · 10 citations
https://openalex.org/W4390991234

Machine Learning Approach for Classification of Sickle Cell Anemia in Teenagers Based on Bayesian Network · Sankore