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Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation stud...
Published 2025-12-01“…The SHapley Additive exPlanations method provided interpretability for the DNN models. A web-based tool was established to help clinicians stratify the risk of PC-AKI (https://xydsbakigroup.streamlit.app/).Conclusion The explainable DNN models serve as promising tools for predicting PC-AKI in CKD patients undergoing coronary angiography and intervention, which is crucial for risk stratification and clinical descion-making.…”
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Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis
Published 2025-06-01“…Moreover, to benefit from the clinical implications of the predictive model, an easy-to-use risk calculator tool for UR was developed online ( https://zluxin.shinyapps.io/make_web/ ) based on the GBM model. …”
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