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 1 Descriptive characteristics of the sample

Variable		Frequency (%)
Sex	Male	185 (56.2%)
Sex	Female	144 (43.8%)
Clinical outcome	Poor	62 (18.8%)
Clinical outcome	Good	267 (81.2%)
Number of laminectomy levels (n)	≤ 3	137 (41.6%)
Number of laminectomy levels (n)	> 3	192 (58.4%)
Signal changes in MRI	No change in signal intensity	77 (23.4%)
	Signal change on T1- + T2-weighted images	146(44.4%)
	Signal change on T2-weighted images	106 (32.2%)
Smoking	Yes	95 (28.9%)
Smoking	No	231 (71.1%)
Diabetes Mellitus	Yes	100 (30.4%)
Diabetes Mellitus	No	229 (69.6%)

ISSN: 1754-9493