Research Article
Artificial Neural Network Individualised Prediction of Time to Colorectal Cancer Surgery
Table 3
Predictive ANN accuracy for each analysis. Training consisted of 70% of the cohort selected and random with the remaining patients used for testing.
| Time from diagnosis to surgery | Sample | Observed | Predicted | Percent correct | Time to surgery under () | Time to surgery greater () |
| 4 weeks | Training | 4 weeks or less | 100 | 93 | 51.8% | >4 weeks | 69 | 166 | 70.6% | Overall percent | 39.5% | 60.5% | 62.1% | Testing | 4 weeks or less | 43 | 44 | 49.4% | >4 weeks | 33 | 85 | 72.0% | Overall percent | 37.1% | 62.9% | 62.4% |
| 8 weeks | Training | 8 weeks or less | 342 | 8 | 97.7% | >8 weeks | 63 | 28 | 30.8% | Overall percent | 91.8% | 8.2% | 83.9% | Testing | 8 weeks or less | 158 | 2 | 98.8% | >8 weeks | 20 | 12 | 37.5% | Overall percent | 92.7% | 7.3% | 88.5% |
| 12 weeks | Training | 12 weeks or less | 366 | 11 | 97.1% | >12 weeks | 29 | 30 | 50.8% | Overall percent | 90.6% | 9.4% | 90.8% | Testing | 12 weeks or less | 168 | 2 | 98.8% | >12 weeks | 16 | 11 | 40.7% | Overall percent | 93.4% | 6.6% | 90.9% |
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