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

Journal: Obstetrics and gynecology
PMID:

Abstract

OBJECTIVE: To develop and externally validate a prediction model for anticholinergic response in patients with overactive bladder (OAB).

Authors

  • David Sheyn
    Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Urology, University Hospitals Cleveland Medical Center, the Case School of Engineering, Department of Electrical Engineering and Computer Science, Case Western Reserve University, the Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics and Gynecology, University Hospitals Cleveland Medical Center, and the Division of Female Pelvic Medicine and Reconstructive Surgery, MetroHealth Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio.
  • Mingxuan Ju
  • Sixiao Zhang
  • Caleb Anyaeche
  • Adonis Hijaz
  • Jeffrey Mangel
  • Sangeeta Mahajan
  • Britt Conroy
  • Sherif El-Nashar
  • Soumya Ray