Prediction of vestibular schwannoma recurrence using artificial neural network

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 were de...

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Detalles Bibliográficos
Autores principales: Abouzari, Mehdi, Goshtasbi, Khodayar, Sarna, Brooke, Khosravi, Pooya, Reutershan, Trevor, Mostaghni, Navid, Lin, Harrison W., Djalilian, Hamid R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Otology, Neurotology, and Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178452/
https://www.ncbi.nlm.nih.gov/pubmed/32337359
http://dx.doi.org/10.1002/lio2.362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178452/
https://www.ncbi.nlm.nih.gov/pubmed/32337359
http://dx.doi.org/10.1002/lio2.362

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