The 2 data sets exhibit common characteristics with respect to an increasing trend in the length of stay, resulting in a greater number of features and longer observations, and consistency in the proportion of women and men throughout the years (Tables S1 and S2 in Multimedia Appendix 1 ).
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Longitudinal Model Shifts of Machine Learning-Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals.
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