Accessibility settings

This paper is in the following e-collection/theme issue:

Data Science (670) Methods and Instruments in Medical Informatics (388) Advanced Data Analytics in eHealth (326) Machine Learning (2996) Data Science in Neurotechnology (7) Applications of AI (808) Responsible Health AI (185)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72083, first published .
Medical team reviews patient risk scores on monitors in ICU

The Impact of Evaluation Strategy on Sepsis Prediction Model Performance Metrics in Intensive Care Data: Retrospective Cohort Study

The Impact of Evaluation Strategy on Sepsis Prediction Model Performance Metrics in Intensive Care Data: Retrospective Cohort Study

Authors of this article:

Dang-Khoa Do1 Author Orcid Image ;   Patrick Rockenschaub2 Author Orcid Image ;   Sebastian Daniel Boie1 Author Orcid Image ;   Oliver Kumpf3 Author Orcid Image ;   Hans-Dieter Volk4 Author Orcid Image ;   Felix Balzer1 Author Orcid Image ;   Falk von Dincklage5 Author Orcid Image ;   Gregor Lichtner1, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Geetha A, Nisha K, Pillai A, Rajeev S. Temporal Knowledge Extraction Through BayeStack with Multi-Level Explainability for Optimal Sepsis Classification. Machine Learning and Knowledge Extraction 2026;8(6):150 View