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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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A Stacking Ensemble Machine Learning Model for Predicting Caesarean Section Delivery in a Nigerian Cohort

2025UMYU ScientificaJournalOpen access

10.56919/usci.2543.024 Full text2 citations

Authors

12 authors across 2 institutions in 1 country.

Auwal Aliyu FatimaFirst author
- Kaduna State University (NG)
Auwal Aliyu FatimaFirst author
- Kaduna State University (NG)
Auwal Aliyu FatimaFirst author
- Kaduna State University (NG)
Ahmed Abubakar Aliyu
- Kaduna State University (NG)
as printed: Ahmed Aliyu Abubakar
Muhammad Ahmad Aminu
- Kaduna State University (NG)
S. Abdulkadir
- Kaduna State University (NG)
as printed: Sa’adatu Abdulkadir
Abubakar Ahmed Muazu
- Kaduna State University (NG)
Abubakar Ahmed Muazu
- Kaduna State University (NG)
Mohammed Ibrahim
- Kaduna State University (NG)
Abdulaziz AishaSenior author
- Nigerian Defence Academy (NG)
Abdulaziz AishaSenior author
- Nigerian Defence Academy (NG)
Abdulaziz AishaSenior author
- Nigerian Defence Academy (NG)

Fields

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

Maternal and Perinatal Health Interventionslevel 3 · 0.58
Maternal and fetal healthcarelevel 3 · 0.19
Preterm Birth and Chorioamnionitislevel 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 · UMYU Scientifica · 2 citations
https://openalex.org/W4416038250

A Stacking Ensemble Machine Learning Model for Predicting Caesarean Section Delivery in a Nigerian Cohort · Sankore