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...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:J Clin Neurosci
Autors principals: 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
Idioma:Inglês
Publicat: 2015
Matèries:
Article
Accés en línia: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
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars