Assessing the predictive capability of machine learning models in determining clinical outcomes for patients with cervical spondylotic myelopathy treated with laminectomy and posterior spinal fusion

Table 5 Binary Logistic Regression Analysis

variables	Odds ratio	95% CI	P value
Age	2.08	1.47–2.54	*P = 0.013
Signal changes in MRI	1.24	0.83–1.91	P = 0.421
Duration of symptoms	1.37	1.01–2.01	*P = 0.031
Preoperative mJOA scale	3.52	2.83–4.56	*P < 0.001

ISSN: 1754-9493