Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Deep learning models for acute kidney injury prediction: multi-center external validation and evaluation under simulated continuous monitoring conditions

2026npj Digital MedicineJournalOpen access

10.1038/s41746-026-02722-2 Full text0 citations

Authors

5 authors across 6 institutions in 3 countries.

Kyung Hyun LeeFirst author
- Sacred Heart Hospital (NG)
Donghwee Yoon
Hyunsun Lim
Yong Kyu Lee
- Sacred Heart Hospital (NG)
as printed: Ki-Byung Lee
Ki-Byung LeeCorresponding
- Sacred Heart Hospital (NG)

Fields

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

Acute Kidney Injury Researchlevel 3 · 0.91
Intravenous Infusion Technology and Safetylevel 3 · 0.02
Sepsis Diagnosis and Treatmentlevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · npj Digital Medicine · 0 citations
https://openalex.org/W7160695753

Deep learning models for acute kidney injury prediction: multi-center external validation and evaluation under simulated continuous monitoring conditions · Sankore