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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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Determinants and predictors of early re-admission of patients with hyperglycemic crises: a machine learning-based analysis

2025Journal of Diabetes & Metabolic DisordersJournalOpen access

10.1007/s40200-025-01586-9 Full text1 citations

Authors

3 authors across 3 institutions in 2 countries.

Olubola Titilope AdegbosinFirst authorCorresponding
Michael Adeyemi Olamoyegun
- Ladoke Akintola University of Technology (NG)
Sunday Olakunle OlarewajuSenior author
- Osun State University (NG)

Fields

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

Hyperglycemia and glycemic control in critically ill and hospitalized patientslevel 3 · 0.54
Machine Learning in Healthcarelevel 3 · 0.12
Sepsis Diagnosis and Treatmentlevel 3 · 0.11

Sources

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

openalexseen September 9, 2026
2025 · Journal of Diabetes & Metabolic Disorders · 1 citations
https://openalex.org/W4408550097

Determinants and predictors of early re-admission of patients with hyperglycemic crises: a machine learning-based analysis · Sankore