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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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Application of Machine Learning Techniques for Predicting Hypertension Status and Indicators

2025UMYU ScientificaJournalOpen access

10.56919/usci.2542.023 Full text1 citations

Authors

5 authors across 3 institutions in 1 country.

Ibrahim Haruna SuleFirst author
- Kano State University of Technology (NG)
Sani Abubakar Salihu
- Kano State University of Technology (NG)
A. Darwish Mohamad Ibrahim
- Kano State University of Technology (NG)
as printed: Auwalu Ibrahim
Abdulhameed Osi Ado
- Kano State University of Technology (NG)
Usman AbubakarSenior author
- Kwara State Polytechnic (NG)
- Hussaini Adamu Federal Polytechnic (NG)

Fields

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

Artificial Intelligence in Healthcarelevel 3 · 0.81
Machine Learning in Healthcarelevel 3 · 0.01
Blood Pressure and Hypertension Studieslevel 3 · 0.01

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 · 1 citations
https://openalex.org/W4416715313

Application of Machine Learning Techniques for Predicting Hypertension Status and Indicators · Sankore