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Christian Porschen

Current affiliations

Clinic for Anaesthesiology, Surgical Critical Care Medicine and Pain Therapy

Publications

pyAKI—An open source solution to automated acute kidney injury classification Porschen, Christian and Ernsting, Jan and Brauckmann, Paul and Weiss, Raphael and Würdemann, Till and Booke, Hendrik and Amini, Wida and Maidowski, Ludwig and Risse, Benjamin and Hahn, Tim and von Groote, Thilo (2025) In: PloS one, 20(1), e0315325. Research article (journal)
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 (2024) In: arXiv:2401.12930. Research article in digital collection
Evaluation of Proenkephalin A 119-159 for liberation from renal replacement therapy: an external, multicenter pilot study in critically ill patients with acute kidney injury von Groote T; Albert F; Meersch M; Koch R; Gerss J; Arlt B; Sadjadi M; Porschen C; Pickkers P; Zarbock A; RICH investigators (2023) In: Critical Care, 27(1). Research article (journal)
Implementation of Nephroprotective Measures to Prevent Acute Kidney Injury in Septic Patients: A Retrospective Cohort Study. Sadjadi M; Porschen C; von Groote T; Albert F; Kellum JA; Gomez H; Meersch M; Zarbock A (2023) In: Anesthesia and Analgesia, Online ahead of . Research article (journal)
DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation. Fujarski M; Porschen C; Plagwitz L; Stroth D; Van Alen CM; Sadjadi M; Weiss R; Zarbock A; Von Groote T; Varghese J (2023) In: Studies in Health Technology and Informatics, 302. Research article (journal)