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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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Mehdi Abouzari, Khodayar Goshtasbi, Brooke Sarna, Pooya Khosravi, Trevor Reutershan, Navid Mostaghni, Harrison W. Lin, Hamid R. Djalilian
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Wiley 2020-04-01
Σειρά:	Laryngoscope Investigative Otolaryngology
Θέματα:	acoustic neuroma artificial intelligence artificial neural network logistic regression recurrence vestibular schwannoma
Διαθέσιμο Online:	https://doi.org/10.1002/lio2.362
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