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Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study

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Published in:International Journal of Women's Health
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Women's Health
description
discipline_display Women's Health
discipline_facet Women's Health
format Online Article
RSS Article
genre Journal Article
id rss_article:101317
institution FRELIP
journal_source_facet International Journal of Women's Health
last_indexed 2026-07-10T03:34:57.227Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study
Women's Health
General
Women's Health
sub_discipline_display General
sub_discipline_facet General
subject_display Women's Health
General
Women's Health
subject_facet Women's Health
General
Women's Health
title Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study
title_alt Análisis comparativo de regresión logística y algoritmos de aprendizaje automático para predecir incontinencia urinaria de esfuerzo de novo o empeoramiento sintomático después de reconstrucción del piso pélvico: Un estudio multicéntrico
Analyse comparative de la régression logistique et des algorithmes d'apprentissage automatique pour prédire l'incontinence urinaire à l'effort de novo ou l'aggravation symptomatique après reconstruction du plancher pelvien : une étude multicentrique
Análise Comparativa de Regressão Logística e Algoritmos de Aprendizado de Máquina para Predição de Incontinência Urinária de Esforço de Novo Início ou Piora Sintomática Após Reconstrução do Assoalho Pélvico: Um Estudo Multicêntrico
title_auth Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study
title_es_txt Análisis comparativo de regresión logística y algoritmos de aprendizaje automático para predecir incontinencia urinaria de esfuerzo de novo o empeoramiento sintomático después de reconstrucción del piso pélvico: Un estudio multicéntrico
title_fr_txt Analyse comparative de la régression logistique et des algorithmes d'apprentissage automatique pour prédire l'incontinence urinaire à l'effort de novo ou l'aggravation symptomatique après reconstruction du plancher pelvien : une étude multicentrique
title_full Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study
title_fullStr Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study
title_full_unstemmed Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study
title_pt_txt Análise Comparativa de Regressão Logística e Algoritmos de Aprendizado de Máquina para Predição de Incontinência Urinária de Esforço de Novo Início ou Piora Sintomática Após Reconstrução do Assoalho Pélvico: Um Estudo Multicêntrico
title_short Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study
title_sort comparative analysis of logistic regression and machine learning algorithms for predicting de novo stress urinary incontinence or symptomatic worsening following pelvic floor reconstruction: a multicenter study
topic Women's Health
General
Women's Health
url https://www.dovepress.com/comparative-analysis-of-logistic-regression-and-machine-learning-algor-peer-reviewed-fulltext-article-IJWH