Comparison of different predicting models to assist the diagnosis of spinal lesions

Figures & data

Figure 1. Three types of spinal disease with similar symptoms. An X-ray of each is shown.

Table 1. Demographic data analysis (N = 227)

Demographic characteristic	Mean (SD)	N (%)
Gender Male Female		81(35.7) 146(64.3)
Age (years old)	55.89(12.6)
Pain Score	6.5(1.2)
Common posture
Stand		117(51.5)
Sit		110(48.5)
Symptoms characteristics
Pain		215(94.7)
Swelling		73(32.2)
Numbness		118(52.2)
Tingling		69(30.4)
Night pain		89(39.2)
Treatment
Rehabilitation		95(41.9)
Medication		143(63.0)
Alternative therapies*		84(37.0)

* Including far-infrared heat compress, massage, acupuncture point massage and traditional Chinese medicine patch.

Figure 2. Results of the analysis of important factors.

Figure 3. Results of discriminant analysis.

Figure 4. Results of artificial neural network analysis.

Figure 5. Summary of analytic results.

(¹Matlab implementation^2,4 SPSS Statistics function³ SPSS Modeler function)