Predicting synkinesis caused by Bell's palsy or Ramsay Hunt syndrome using machine learning‐based logistic regression
Abstract Objective To 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...
Glavni autori: | Megumi Kishimoto‐Urata, Shinji Urata, Hironobu Nishijima, Shintaro Baba, Yoko Fujimaki, Kenji Kondo, Tatsuya Yamasoba |
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Format: | Članak |
Jezik: | English |
Izdano: |
Wiley
2023-10-01
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Serija: | Laryngoscope Investigative Otolaryngology |
Teme: | |
Online pristup: | https://doi.org/10.1002/lio2.1145 |
Slični predmeti
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