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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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Developing and Validating Predictive Models for Adverse Drug Reactions using Electronic Health Records (EHRs): A Narrative Review

2025Epidemiology and Health Data InsightsJournalOpen access

10.63946/ehdi/17369 Full text3 citations

Authors

9 authors across 7 institutions in 3 countries.

Vivian Ukamaka NwokediFirst authorCorresponding
- University of Benin (NG)
Michael Kayode Odedele
Taofeek Adeshina Yusuff
Irene Adjoa Anderson
- Kwame Nkrumah University of Science and Technology (GH)
Irene Adjoa Anderson
- Kwame Nkrumah University of Science and Technology (GH)
Irene Adjoa Anderson
- Kwame Nkrumah University of Science and Technology (GH)
Olukunle O. Akanbi
Chiamaka Pamela Agu
Amber Otibhor OmoikeSenior author
- Irrua Specialist Teaching Hospital (NG)

Fields

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

Pharmacovigilance and Adverse Drug Reactionslevel 3 · 0.98
Computational Drug Discovery Methodslevel 3 · 0.00
Machine Learning in Healthcarelevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2025 · Epidemiology and Health Data Insights · 3 citations
https://openalex.org/W4415782989

Developing and Validating Predictive Models for Adverse Drug Reactions using Electronic Health Records (EHRs): A Narrative Review · Sankore