Table 3 Classification rules of neuroblastoma patients including NB-hypo
From: Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients
Rule IDa | Â | NB-hypo | INSS Stage | MYCN Status | Age at diagnosis (Years) | Â | Predicted Outcome | Covering b (%) | ErroreC (%) | Fisher pvalued | Stabilitye |
|---|---|---|---|---|---|---|---|---|---|---|---|
3.1 | IF ( | High | {3,4} | _ | ≥1 | ) THEN | Poor | 64 | 3 | <0.001 | 0.94 |
3.2 | IF ( | High | {2,3,4} | Normal | ≥1 | ) THEN | Poor | 25 | 2.2 | <0.001 | 0.8 |
3.3 | IF ( | _ | {1, 3, 4, 4s} | Amplified | ≥1 | ) THEN | Poor | 50 | 1.5 | <0.001 | 0.5 |
3.4 | IF ( | _ | _ | _ | <1 | ) THEN | Good | 65 | 0 | <0.001 | 0.94 |
3.5 | IF ( | Low | _ | Normal | _ | ) THEN | Good | 89 | 23 | <0.001 | 0.64 |
3.6 | IF ( | _ | {1, 4s} | _ | _ | ) THEN | Good | 50 | 0 | <0.001 | 0.9 |
3.7 | IF ( | _ | {1, 2, 4s} | Amplified | _ | ) THEN | Good | 1.5 | 0 | >0.5 | 0.8 |