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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.

Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree regression

2025Bulletin of the National Research Centre/Bulletin of the National Research CenterJournalOpen access

10.1186/s42269-024-01295-y Full text8 citations

Authors

6 authors across 2 institutions in 1 country.

Idris Zubairu SadiqFirst authorCorresponding
- Ahmadu Bello University (NG)
Fatima Sadiq Abubakar
- National Agricultural Extension and Research Liaison Services (NG)
- Ahmadu Bello University (NG)
Muhammad A. Saliu
- Ahmadu Bello University (NG)
as printed: Muhammad Auwal Saliu
Babangida Sanusi Kastayal
- Ahmadu Bello University (NG)
as printed: Babangida Sanusi katsayal
Aliyu Salihu
- Ahmadu Bello University (NG)
Aliyu MuhammadSenior author
- Ahmadu Bello University (NG)

Fields

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

Pregnancy and preeclampsia studieslevel 3 · 0.98
Cardiovascular Disease and Adipositylevel 3 · 0.98
Birth, Development, and Healthlevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2025 · Bulletin of the National Research Centre/Bulletin of the National Research Center · 8 citations
https://openalex.org/W4406195143

Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree regression · Sankore