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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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Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention

2024Scientific ReportsJournalOpen access

10.1038/s41598-024-64048-x Full text15 citations

Authors

17 authors across 4 institutions in 2 countries.

Yanxu LiuFirst author
Linqin Du
Lan Li
Lijuan Xiong
Hao Luo
Eugene Kwaku
- Kofi Annan International Peacekeeping Training Centre (GH)
Xue Mei
Cong wen
Yang Yang Cui
Yang Zhou
Lang Zeng
Shikang Li
Kun Wang
Jiankang Zheng
Zonglian Liu
Houxiang Hu
Rongchuan YueSenior authorCorresponding

Fields

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

Acute Myocardial Infarction Researchlevel 3 · 0.98
Antiplatelet Therapy and Cardiovascular Diseaseslevel 3 · 0.97
Coronary Interventions and Diagnosticslevel 3 · 0.97

Sources

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

openalexseen September 5, 2026
2024 · Scientific Reports · 15 citations
https://openalex.org/W4399543430

Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention · Sankore