Table 5.
Performance metrics of developed final data-mining models.
| Scenario | Included potential predictors | Set | Accur acy (95% CI) | Sensiti vity | Specifi city | Positiv e Predict ive Value | Negati ve Predict ive Value | AUC ROC (95% CI) |
| TGF+Clinical forasthmadiagnosis | age, sex, height, weight, BMI, allergy, rs8109627, rs8179181, rs4803455, rs1800469, rs10495098, rs17047703, rs17558745, rs2799085, rs2009112, rs10482751, rs2027567, rs10779329, rs2796821, rs2796822, rs2798631, rs10863399, rs4903359, rs3917187, rs2284792, rs2268626, macarrier_rs8109627, macarrier_rs8179181, macarrier_rs4803455, macarrier_rs1800469, macarrier_rs10495098, macarrier_rs17047703, macarrier_rs17558745, macarrier_rs2799085, macarrier_rs2009112, macarrier_rs10482751, macarrier_rs2027567, macarrier_rs10779329, macarrier_rs2796821, macarrier_rs2796822, macarrier_rs2798631, macarrier_rs10863399, macarrier_rs4903359, macarrier_rs3917187, macarrier_rs2284792, macarrier_rs2268626, FEV1, FVC, FEV1doFVC |
Training | 100%(99.3%-100%) | 100% | 100% | 100% | 100% | 1 |
| Validat ion | 81.5%(73.8%- 87.8%) | 88.4% | 73.8% | 79.2% | 84.9% | 0.87(0.81-0.93) | ||
| Only Clinical for asthma diagnosis | age, sex, height, weight, BMI, allergy, FEV1, FVC, FEV1doFVC | Training | 95.8%(93.7%-97.3%) | 97.8% | 93.5% | 94.4% | 97.5% | 0.99(0.99-1.00) |
| Validation | 73.8%(65.4%-81.1%) | 73.9% | 73.8% | 76.1% | 71.4% | 0.80(0.72-0.88) | ||
| MRMR for asthma diagnosis | age, FEV1doFVC,allergy, FVC, macarrier_rs4903359, rs10779329, rs4803455,BMI, macarrier_rs10495098, FEV1, rs8109627,height, macarrier_rs2799085, macarrier_rs8179181, macarrier_rs2027567, rs17558745, rs2268626, macarrier_rs2009112, rs1800469, macarrier_rs2798631, sex, rs10863399, macarrier_rs17047703 |
Training | 99.8%(98.9%-100%) | 99.6% | 100% | 100% | 99.6% | ~1 |
| Validat ion | 76.2%(67.9%- 83.2%) | 76.8% | 75.4% | 77.9% | 74.2% | 0.85(0.79-0.92) | ||
| TGF+Clinical for severity prediction | age, sex, height,weight, BMI,allergy, rs8109627, rs8179181, rs4803455, rs1800469, rs10495098, rs17047703, rs17558745, rs2799085, rs2009112, rs10482751, rs2027567, rs10779329, rs2796821, rs2796822, rs2798631, rs10863399, rs4903359, rs3917187, rs2284792, rs2268626, macarrier_rs8109627, macarrier_rs8179181, macarrier_rs4803455, macarrier_rs1800469, macarrier_rs10495098, macarrier_rs17047703, macarrier_rs17558745, macarrier_rs2799085, macarrier_rs2009112, macarrier_rs10482751, macarrier_rs2027567, macarrier_rs10779329, macarrier_rs2796821, macarrier_rs2796822, macarrier_rs2798631, macarrier_rs10863399, macarrier_rs4903359, macarrier_rs3917187, macarrier_rs2284792, macarrier_rs2268626, FEV1, FVC, FEV1doFVC, Control test, Number of exacerbations, Smoking pack years, Age of diagnosis |
Training | 97.5%(94.8%-99.0%) | 97.0% | 97.8% | 96.0% | 98.3% | ~1(0.99-1.0) |
| Validation | 75.4%(63.5%- 85.0%) | 64.0% | 81.8% | 66.7% | 80.0% | 0.76(0.64-0.88) | ||
| Only Clinical for severity prediction | age, sex, height, weight, BMI, allergy, FEV1, FVC, FEV1doFVC, Control test, Number of exacerbations, Smoking pack years, Age of diagnosis | Training | 83.7%(78.8%-87.9%) | 65.0% | 94.3% | 86.7% | 82.6% | 0.91(0.87-0.94) |
| Validat ion | 72.5%(60.4%- 82.5%) | 44.0% | 88.6% | 68.8% | 73.6% | 0.75(0.62-0.87) | ||
| MRMR for severity prediction | age, Number of exacerbations FEV1, rs2009112, Control test, rs17558745, FEV1doFVC, rs4803455, rs2268626, FVC, Smoking packyears, Age ofdiagnosis, rs8109627,height, macarrier_rs10779329, allergy, BMI |
Training | 86.6%(82.0%-90.4%) | 76.0% | 92.6% | 85.4% | 87.2% | 0.95(0.93-0.97) |
| Validat ion | 73.9%(61.9%- 83.8%) | 52.0% | 86.4% | 68.4% | 76.0% | 0.77(0.65-0.89) |