A semi‐supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre‐implant brain fMRI imaging

INTRODUCTION: We developed a machine learning model to predict whether or not a cochlear implant (CI) candidate will develop effective language skills within 2 years after the CI surgery by using the pre‐implant brain fMRI data from the candidate. METHODS: The language performance was measured 2 yea...

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Detalles Bibliográficos
Autores principales: Tan, Lirong, Holland, Scott K., Deshpande, Aniruddha K., Chen, Ye, Choo, Daniel I., Lu, Long J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4714644/
https://www.ncbi.nlm.nih.gov/pubmed/26807332
http://dx.doi.org/10.1002/brb3.391

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4714644/
https://www.ncbi.nlm.nih.gov/pubmed/26807332
http://dx.doi.org/10.1002/brb3.391

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