2023
DOI: 10.1002/lio2.1145
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Predicting synkinesis caused by Bell's palsy or Ramsay Hunt syndrome using machine learning‐based logistic regression

Megumi Kishimoto‐Urata,
Shinji Urata,
Hironobu Nishijima
et al.

Abstract: ObjectiveTo investigate whether machine learning (ML)‐based algorithms, namely logistic regression (LR), random forest (RF), k‐nearest neighbor (k‐NN), and gradient‐boosting decision tree (GBDT), utilizing early post‐onset parameters can predict facial synkinesis resulting from Bell's palsy or Ramsay Hunt syndrome more accurately than the conventional statistics‐based LR.MethodsThis retrospective study included 362 patients who presented to a facial palsy outpatient clinic. Median follow‐up of synkinesis‐posit… Show more

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