Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy
نویسندگان
چکیده
منابع مشابه
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 challenge. We recruited patients who had a diagnosis of CSM and required decompressive surgery wit...
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ژورنال
عنوان ژورنال: Journal of Clinical Neuroscience
سال: 2015
ISSN: 0967-5868
DOI: 10.1016/j.jocn.2015.04.002