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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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Evaluating machine learning models for neonatal mortality prediction in data-scarce settings: a case study of Ghana

2026Journal of Electrical Systems and Information TechnologyJournalOpen access

10.1186/s43067-026-00336-y Full text0 citations

Authors

5 authors.

Francis Ayiah-MensahFirst author
- Takoradi Technical University (GH)
Govinda Das YankahCorresponding
- Takoradi Technical University (GH)
Senyefia Bosson-Amedenu
- Takoradi Technical University (GH)
Emmanuel Ayitey
- Takoradi Technical University (GH)
Issaka SulemanaSenior author
- Takoradi Technical University (GH)

Fields

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

Global Maternal and Child Healthlevel 3 · 0.39
Data-Driven Disease Surveillancelevel 3 · 0.11
Maternal and Neonatal Healthcarelevel 3 · 0.05

Sources

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

openalexseen September 5, 2026
2026 · Journal of Electrical Systems and Information Technology · 0 citations
https://openalex.org/W7139089199

Evaluating machine learning models for neonatal mortality prediction in data-scarce settings: a case study of Ghana · Sankore