Table 6.
Multi-parameter combined auxiliary diagnosis model building
|
Observed
|
Predicted
|
||
|
CRP
|
CRC
|
Correct percentage
|
|
| Binary logistic regression analysis building | |||
| CRP | 45 | 14 | 76.30% |
| CRC | 15 | 86 | 85.10% |
| Total percentage | 81.90% | ||
| Discriminant analysis building | |||
| CRP | 51 | 8 | 86.40% |
| CRC | 31 | 70 | 69.30% |
| Total percentage | 75.60% | ||
| Classification tree building | |||
| CRP | 54 | 5 | 91.50% |
| CRC | 42 | 59 | 58.40% |
| Total percentage | 70.60% | ||
| Neural network building | |||
| CRP | 31 | 8 | 79.50% |
| CRC | 2 | 68 | 97.10% |
| Total percentage | 90.80% | ||
| Neural network validation | |||
| CRP | 18 | 2 | 90.00% |
| CRC | 4 | 27 | 87.10% |
| Total percentage | 88.20% | ||
CRP: Colorectal polyps; CRC: Colorectal cancer.