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Predictive model of double-J pipe scab size after radical total cystectomy based on Boruta feature selection and LASSO technique: A retrospective cross-sectional study.
Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Prediction model for early neurological deterioration in large artery atherosclerotic stroke.Frontiers in neurologyArticle
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ObjectiveThis study sought to develop a prediction model for double-J pipe scab following radical total cystectomy.MethodsThis retrospective study included clinical data on 175 patients who underwent routine double-J pipe replacement after radical total cystectomy. A double-J pipe scab was the nomogram's outcome. Boruta feature selection and the least absolute shrinkage selection operator (LASSO) approach were employed to predictions as efficiently as possible. Using multiple logistic regression, predictive models were created and displayed as nomograms. Nomogram performance was assessed using decision curve analysis, calibration plots, and receiver operating characteristic (ROC) curves. By computing the validation cohort's performance, the model was internally validated.ResultsThis study covered 175 patients in total. In twenty-nine individuals (16.57%), a double-J pipe scab formed. Every participant was randomly split into two groups: training (
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