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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.

Machine learning in predicting heart failure survival: a review of current models and future prospects

2024Heart Failure ReviewsJournal

10.1007/s10741-024-10474-y Full text27 citations

Authors

11 authors across 6 institutions in 3 countries.

Emmanuel KokoriFirst author
- University of Ilorin (NG)
Ravi Patel
Olatunji Gbolahan
- University of Ilorin (NG)
as printed: Gbolahan Olatunji
Bonaventure Michael Ukoaka
Israel Charles Abraham
- University of Ilorin (NG)
Victor Ajekiigbe
- Ladoke Akintola University of Technology (NG)
as printed: Victor Oluwatomiwa Ajekiigbe
Julia Mimi Kwape
- University of Botswana (BW)
Adetola Emmanuel Babalola
- University of Ibadan (NG)
Adetola Babalola
- University of Ibadan (NG)
as printed: Adetola Emmanuel Babalola
Ntishor Gabriel Udam
- University of Calabar (NG)
Nicholas AderintoSenior authorCorresponding
- Ladoke Akintola University of Technology (NG)

Fields

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

Heart Failure Treatment and Managementlevel 3 · 1.00
Machine Learning and ELMlevel 3 · 0.93
Artificial Intelligence in Healthcarelevel 3 · 0.91

Sources

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

openalexseen September 24, 2026
2024 · Heart Failure Reviews · 27 citations
https://openalex.org/W4405246095

Machine learning in predicting heart failure survival: a review of current models and future prospects · Sankore