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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.

Conceptual Review of Dual-Target Machine Learning Models for Prediction of Reproductive Health in Women

2026International Journal of Innovative Science and Research Technology (IJISRT)JournalOpen access

10.38124/ijisrt/26jul1130 Full text0 citations

Authors

5 authors.

Folayemi Faith AdekolaFirst author
- Babcock University (NG)
Oyebode Aduragbemi
- Babcock University (NG)
Elizabeth Oluwakemi Grillo
- Babcock University (NG)
Olufunke Olubukola Ayennakin
- Babcock University (NG)
O. AwodeleSenior author
as printed: Oludele Awodele

Fields

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

Ovarian function and disorderslevel 3 · 0.79
Reproductive Biology and Fertilitylevel 3 · 0.14
Reproductive Health and Technologieslevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Innovative Science and Research Technology (IJISRT) · 0 citations
https://openalex.org/W7202079476

Conceptual Review of Dual-Target Machine Learning Models for Prediction of Reproductive Health in Women · Sankore