Unsupervised Characterization of Temporal Dataset Shifts as an Early Indicator of AI Performance Variations: Evaluation Study Using the Medical Information Mart for Intensive Care-IV Dataset
- DOI
- 10.2196/78309
- Published
- 2025-12-03
- Container
- JMIR Medical Informatics
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/78309,
title = {Unsupervised Characterization of Temporal Dataset Shifts as an Early Indicator of AI Performance Variations: Evaluation Study Using the Medical Information Mart for Intensive Care-IV Dataset},
author = {David Fernández-Narro and Pablo Ferri and Alba Gutiérrez-Sacristán and Juan M García-Gómez and Carlos Sáez},
year = {2025},
journal = {JMIR Medical Informatics},
doi = {10.2196/78309},
url = {https://doi.org/10.2196/78309}
}RIS
TY - JOUR TI - Unsupervised Characterization of Temporal Dataset Shifts as an Early Indicator of AI Performance Variations: Evaluation Study Using the Medical Information Mart for Intensive Care-IV Dataset AU - David Fernández-Narro AU - Pablo Ferri AU - Alba Gutiérrez-Sacristán AU - Juan M García-Gómez AU - Carlos Sáez PY - 2025 JO - JMIR Medical Informatics DO - 10.2196/78309 UR - https://doi.org/10.2196/78309 ER -
APA
Fernández-Narro, D., Ferri, P., Gutiérrez-Sacristán, A., García-Gómez, J. M., & Sáez, C. (2025). Unsupervised Characterization of Temporal Dataset Shifts as an Early Indicator of AI Performance Variations: Evaluation Study Using the Medical Information Mart for Intensive Care-IV Dataset. JMIR Medical Informatics. https://doi.org/10.2196/78309
Source records
- crossref · retrieved 2026-09-25T06:16:58.439Z