The increasing wealth of clinical data may become unmanageable for a physician to assimilate into optimal decision‐making without assistance. Utilizing a novel machine learning (ML) approach, we sought to develop… Click to show full abstract
The increasing wealth of clinical data may become unmanageable for a physician to assimilate into optimal decision‐making without assistance. Utilizing a novel machine learning (ML) approach, we sought to develop algorithms to predict patient outcomes following the overactive bladder treatments OnabotulinumtoxinA (OBTX‐A) injection and sacral neuromodulation (SNM).
Keywords:
provides accurate;
machine learning;
learning provides;
overactive bladder
Journal Title: Neurourology and Urodynamics
Year Published: 2022
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Journal Title: Neurourology and Urodynamics
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!