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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
Sáez C, Gutiérrez-Sacristán A, Kohane I, García-Gómez JM, Avillach P. (2020).
EHRtemporalVariability: delineating temporal data-set shifts in electronic health records.
GigaScience, 9(8), giaa079.
https://doi.org/10.1093/gigascience/giaa079
Sáez, C., & García-Gómez, J. M. (2018).
Kinematics of Big Biomedical Data to characterize temporal variability and seasonality of data repositories: Functional Data Analysis of data temporal evolution over non-parametric statistical manifolds.
International Journal of Medical Informatics, 119, 109-124.
https://doi.org/10.1016/j.ijmedinf.2018.09.015
Sáez, C., Robles, M., & García-Gómez, J.M. (2017).
Stability metrics for multi-source biomedical data based on simplicial projections from probability distribution distances.
Statistical Methods in Medical Research, 26(1), 312-336.
https://doi.org/10.1177/0962280214545122
Sáez, C., Zurriaga, O., Pérez-Panadés, J., Melchor, I., Robles, M., & García-Gómez, J. M. (2016).
Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: A systematic approach to quality control of repositories.
Journal of the American Medical Informatics Association, 23(6), 1085-1095.
https://doi.org/10.1093/jamia/ocw010
Sáez, C., Rodrigues, P. P., Gama, J., Robles, M., & García-Gómez, J. M. (2015).
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality.
Data Mining and Knowledge Discovery, 29(4), 950-975.
https://doi.org/10.1007/s10618-014-0378-6