Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy

This study introduces the use of multivariate linear regression (MLR) and support vector regression (SVR) models to predict postoperative outcomes in a cohort of patients who underwent surgery for cervical spondylotic myelopathy (CSM). Currently, predicting outcomes after surgery for CSM remains a c...

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Bibliografiske detaljer
Udgivet i:J Clin Neurosci
Main Authors: Hoffman, Haydn, Lee, Sunghoon Ivan, Garst, Jordan H., Lu, Derek S., Li, Charles H., Nagasawa, Daniel T., Ghalehsari, Nima, Jahanforouz, Nima, Razaghy, Mehrdad, Espinal, Marie, Ghavamrezaii, Amir, Paak, Brian H., Wu, Irene, Sarrafzadeh, Majid, Lu, Daniel C.
Format: Artigo
Sprog:Inglês
Udgivet: 2015
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4842312/
https://ncbi.nlm.nih.gov/pubmed/26115898
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jocn.2015.04.002
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