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Oral Presentation

Machine Learning

Machine Learning Algorithms for Prediction of Ambulation and Wheelchair Transfer Ability in Spina Bifida

Tuesday, October 28, 2025
5:00 PM - 5:15 PM  
Location:  ROOM: Williford C >>> DIRECTIONS: Third Floor >>> From the Main Elevator Bank, proceed left. Williford C is the third room on your right.

    Presenting Author(s)

  • GM

    Gina P. McKernan, PhD

    Vice Chair, Assistant Professor Department of Physical Medicine and Rehabilitation
    University of Pittsburgh School of Medicine
    Pittsburgh, PA, United States

    Slides Slides

    • Non-presenting Author(s)

  • Matt Mesoros, BS

    Research Project Manager
    University of Pittsburgh
    Pittsburgh, Pennsylvania, United States

  • BD

    Brad E. Dicianno, MD

    Professor Endowed Research Chair Assistant Dean for Medical Student Research
    University of Pittsburgh, VA Healthcare System
    Pittsburgh, Pennsylvania, United States

Learning Objectives:

  • Upon completion, participant will be able to identify predictors of ambulation ability for individuals with Spina Bifida
  • Upon completion, participant will be able to identify different analytic approaches for improving the accuracy of predicting ambulation ability
  • Upon completion, participant will be able to identify the benefits of balancing sample sizes