University of Münster
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pyAKI - An Open Source Solution to Automated KDIGO classification

Porschen C; Ernsting J; Brauckmann P; Weiss R; Würdemann T; Booke H; Amini W; Maidowski L; Risse B; Hahn T; Groote T

Research article in digital collection | Preprint | Peer reviewed

Details about the publication

Name of the repository: https://arxiv.org
Status: Published
Release year: 2024
Language in which the publication is written: English
DOI: 10.48550/arXiv.2401.12930
Link to the full text: https://arxiv.org/abs/2401.12930
Keywords: KDIGO

Authors from the University of Münster

Ernsting, Jan
Institute for Geoinformatics (ifgi)
Groote, Thilo Caspar
Clinic for Anaesthesiology, Surgical Critical Care Medicine and Pain Therapy
Hahn, Tim
Institute of Translational Psychiatry
Porschen, Christian
Clinic for Anaesthesiology, Surgical Critical Care Medicine and Pain Therapy
Risse, Benjamin
Professorship of Geoinformatics for Sustainable Development (Prof. Risse)