Predicting Clinically Relevant Patient-Reported Symptom Improvement After Carpal Tunnel Release: A Machine Learning Approach.

Lisa HoogendamJeanne A C BakxJ Sebastiaan SouerHarm P SlijperEleni-Rosalina AndrinopoulouRuud W Sellesnull null

Published in: Neurosurgery (2022)

We developed a prediction model for clinically relevant symptom improvement 6 mo after a CTR, which required 5 patient-reported predictors (18 questions) and has reasonable discriminative ability and good calibration. The model is available online and might help shared decision making when patients are considering a CTR.

Keyphrases

patient reported
machine learning
end stage renal disease
chronic kidney disease
newly diagnosed
artificial intelligence
peritoneal dialysis
anterior cruciate ligament reconstruction