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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.

Predictive Analytics of the Risk of In-Hospital Mortality of Heart Failure Patients in Intensive Care Unit

2024KASU Journal of Computer ScienceJournalOpen access

10.47514/kjcs/2024.1.2.0010 Full text0 citations

Authors

8 authors across 3 institutions in 1 country.

Umar Gambo AbubakarFirst author
J. B. Agbogun
as printed: Joshua Babatunde Agbogun
Temidayo Oluwatosin Omotehinwa
- Federal University Otuoke (NG)
Monday Jubrin Abdullahi
- Kaduna Polytechnic (NG)
Bethel Ugochukwu Nnamani
Rosemary Ngozi Ariwa
Daniel Gabriel Zhetu
Shedrach Yamlach KamakSenior author
- Taraba State University (NG)

Fields

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

Technology and Data Analysislevel 3 · 0.67
Artificial Intelligence in Healthcarelevel 3 · 0.60
Pharmacy and Medical Practiceslevel 3 · 0.55

Sources

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

openalexseen September 9, 2026
2024 · KASU Journal of Computer Science · 0 citations
https://openalex.org/W4402443232

Predictive Analytics of the Risk of In-Hospital Mortality of Heart Failure Patients in Intensive Care Unit · Sankore