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Enhancing predictive accuracy for urinary tract infections post-pediatric pyeloplasty with explainable AI: an ensemble TabNet approach

Authors: Hongyang Wang,Junpeng Ding,Shuochen Wang,Long Li,Jinqiu Song,Dongsheng Bai
Publisher: Springer Science and Business Media LLC
Publish date: 2025-1-19
ISSN: 2045-2322 DOI: 10.1038/s41598-024-82282-1
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The study relies on data from a single pediatric hospital, which raises concerns about the generalizability of the findings. Factors such as local patient demographics, surgical techniques, and postoperative care protocols could influence the outcomes. Without validation using multi-center data or external datasets, the applicability of the proposed predictive model to broader populations remains uncertain. Could the authors elaborate on the steps they plan to take for external validation in multi-center studies to enhance the robustness and generalizability of their predictive model? This would help in assessing the utility of the model across diverse clinical settings.

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