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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Bibliografski detalji
Izdano u:J Clin Neurosci
Glavni autori: 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
Jezik:Inglês
Izdano: 2015
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Article
Online pristup: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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