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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I publikationen:J Clin Neurosci
Huvudupphovsmän: 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.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2015
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Article
Länkar: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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