External Validation Complexities: A Comparative Study of Late-onset Sepsis Prediction Models Across Multiple Clinical Environments
This study emphasizes the need for standardized guidelines and improved data sharing to enhance model development and facilitate reliable integration into NICU workflow for improved LOS management.
Authors
- Zheng Peng (ORCID: https://orcid.org/0000-0001-9301-3158)
- Peter Andriessen (ORCID: https://orcid.org/0000-0002-5159-6874)
- Hendrik J. Niemarkt (ORCID: https://orcid.org/0000-0002-0844-7208)
- Hendrik Rob Taal (ORCID: https://orcid.org/0000-0002-7300-4577)
- Carola van Pul (ORCID: https://orcid.org/0000-0001-7342-9623)
- Douglas E. Lake (ORCID: https://orcid.org/0000-0001-6259-4850)
- Long Xi (ORCID: https://orcid.org/0000-0003-0472-0876)
- Demi Silvertand
- Janno S Schouten (ORCID: https://orcid.org/0009-0002-2565-007X)
- Brynne Sullivan
Institutions
- Radboud University Nijmegen (NL)
- Erasmus MC (NL)
- Máxima Medisch Centrum (NL)
- Erasmus MC - Sophia Children’s Hospital (NL)
- University of Virginia (US)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tbme.2025.3618080
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00