Prediction of vestibular schwannoma recurrence using artificial neural network

Prediction of vestibular schwannoma recurrence using artificial neural network

Abstract Objectives To compare two statistical models, namely logistic regression and artificial neural network (ANN), in prediction of vestibular schwannoma (VS) recurrence. Methods Seven hundred eighty‐nine patients with VS diagnosis completed an online survey. Potential predictors for recurrence...

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Bibliographic Details
Main Authors: Mehdi Abouzari, Khodayar Goshtasbi, Brooke Sarna, Pooya Khosravi, Trevor Reutershan, Navid Mostaghni, Harrison W. Lin, Hamid R. Djalilian
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:Laryngoscope Investigative Otolaryngology
Subjects:
acoustic neuroma
artificial intelligence
artificial neural network
logistic regression
recurrence
vestibular schwannoma
Online Access:https://doi.org/10.1002/lio2.362

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