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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.

An Intelligent Analysis and Prediction of Employee Attrition Rate in Healthcare Using Machine Learning Techniques

2024International Journal of Emerging Multidisciplinaries Computer Science & Artificial IntelligenceJournalOpen access

10.54938/ijemdcsai.2024.03.1.352 Full text0 citations

Authors

4 authors.

Jessica E. MaFirst author
- Kwararafa University (NG)
as printed: Egwom .O. Jessica
Lawrence Emmanuel
- Kwararafa University (NG)
as printed: Lawrenc Emmanuel
Moshood A. Hambali
- Kwararafa University (NG)
Kefas Rimamnuskeb GaladimaSenior author
- Kwararafa University (NG)
as printed: Kefas Rimamnuskeb Galadima

Fields

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

AI and HR Technologieslevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2024 · International Journal of Emerging Multidisciplinaries Computer Science & Artificial Intelligence · 0 citations
https://openalex.org/W4405616614

An Intelligent Analysis and Prediction of Employee Attrition Rate in Healthcare Using Machine Learning Techniques · Sankore