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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.

A Comparative Evaluation of Logistic Regression, Random Forest, K-Nearest Neighbors, and Support Vector Machine Algorithms for Machine Learning-Based Lung Cancer Risk Classification Using Accessible Clinical, Demographic, and Lifestyle Risk Factors

2026Asian Journal of Applied Science and TechnologyJournalOpen access

10.38177/ajast.2026.10304 Full text0 citations

Authors

3 authors.

Asoshi Paul AnuleFirst author
- Kwararafa University (NG)
Ernest Yakubu Nwuku
- Kwararafa University (NG)
Ashraf IshaqSenior author
- Kwararafa University (NG)

Fields

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

Lung Cancer Diagnosis and Treatmentlevel 3 · 0.61
Radiomics and Machine Learning in Medical Imaginglevel 3 · 0.09
Air Quality Monitoring and Forecastinglevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · Asian Journal of Applied Science and Technology · 0 citations
https://openalex.org/W7204005035

A Comparative Evaluation of Logistic Regression, Random Forest, K-Nearest Neighbors, and Support Vector Machine Algorithms for Machine Learning-Based Lung Cancer Risk Classification Using Accessible Clinical, Demographic, and Lifestyle Risk Factors · Sankore