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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.

Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19

2022BMC Infectious DiseasesJournalOpen access

10.1186/s12879-022-07921-2 Full text9 citations

Authors

4 authors across 7 institutions in 3 countries.

Azam OroojiFirst author
Mostafa Shanbehzadeh
Esmat Mirbagheri
Hadi Kazemi-ArpanahiSenior authorCorresponding
- University of Ibadan (NG)

Fields

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

COVID-19 diagnosis using AIlevel 3 · 0.25
Machine Learning in Healthcarelevel 3 · 0.14
Sepsis Diagnosis and Treatmentlevel 3 · 0.07

Sources

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

openalexseen September 9, 2026
2022 · BMC Infectious Diseases · 9 citations
https://openalex.org/W4311665398

Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19 · Sankore