Development and Validation of a Machine Learning Algorithm for Predicting Response to Anticholinergic Medications for Overactive Bladder Syndrome-Reference-Cited by-同舟云学术

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Development and Validation of a Machine Learning Algorithm for Predicting Response to Anticholinergic Medications for Overactive Bladder Syndrome

Published:2019-11 Issue:5 Volume:134 Page:946-957
ISSN:0029-7844
Container-title:Obstetrics & Gynecology
language:en
Short-container-title:

Author:

Sheyn David,Ju Mingxuan,Zhang Sixiao,Anyaeche Caleb,Hijaz Adonis,Mangel Jeffrey,Mahajan Sangeeta,Conroy Britt,El-Nashar Sherif,Ray Soumya

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Obstetrics and Gynecology

Reference36 articles.

1. The incidence of OAB before and after colposuspension: a study using conventional and ambulatory urodynamic monitoring;Brown;BJU Int,1999

2. Prevalence and burden of overactive bladder in the United States;Stewart;World J Urol,2003

3. Comparative effectiveness of anticholinergic therapy for OAB in women: a systematic review and meta-analysis;Reynolds;Obstet Gynecol,2015

4. Modifiers of response to treatment with fesoterodine for urgency-predominant urinary incontinence in a randomized controlled trial;Winkelman;Female Pelvic Med Reconstr Surg,2017

5. Combined behavioral and drug therapy for urge incontinence in older women;Burgio;J Am Geriatr Soc,2000

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5. Predictive Factors for High Post-void Residual Volume in Older Females After OnabotulinumA Treatment for Severe Overactive Bladder Using a Machine Learning Model;Cureus;2023-07-29

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