Table 2.
Data representation | Phenotype | Median AUC | Top AUC | Literature | Phenotype | Median AUC | Top AUC | Literature |
---|---|---|---|---|---|---|---|---|
AVR | AD | 0.869 | 0.872 | NA | RA | 0.962 | 0.963 | 0.933-0.96111,58,59 |
SPM | 0.863 | 0.875 | 0.970a | 0.970 | ||||
SPM+AVR | 0.883 | 0.886 | 0.970a | 0.971 | ||||
tSPM | 0.898a | 0.913a | 0.966 | 0.966 | ||||
tSPM+AVR | 0.851 | 0.857 | 0.964 | 0.972a | ||||
AVR | AFIB | 0.940 | 0.940 | NA | Stroke | 0.875 | 0.876 | NA |
SPM | 0.941 | 0.942 | 0.880 | 0.881 | ||||
SPM+AVR | 0.942 | 0.942 | 0.887 | 0.894a | ||||
tSPM | 0.943a | 0.943a | 0.879a | 0.879 | ||||
tSPM+AVR | 0.940 | 0.941 | 0.876 | 0.877 | ||||
AVR | CAD | 0.976a | 0.976a | 0.896-0.9311,58,59 | T1DM | 0.980 | 0.980 | 0.98159 |
SPM | 0.974 | 0.974 | 0.978 | 0.978 | ||||
SPM+AVR | 0.976a | 0.976a | 0.978 | 0.978 | ||||
tSPM | 0.975 | 0.975 | 0.993a | 0.993a | ||||
tSPM+AVR | 0.975 | 0.975 | 0.978 | 0.978 | ||||
AVR | CHF | 0.883 | 0.885 | 0.72-0.879,60,61 | T2DM | 0.936 | 0.936 | 0.99,59 |
SPM | 0.868 | 0.868 | 0.944 | 0.945 | ||||
SPM+AVR | 0.866 | 0.872 | 0.956a | 0.959a | ||||
tSPM | 0.898a | 0.901a | 0.926 | 0.926 | ||||
tSPM+AVR | 0.893 | 0.896 | 0.922 | 0.922 | ||||
AVR | COPD | 0.862 | 0.862 | NA | UC | 0.955 | 0.955 | 0.87-0.9759,20,58,59 |
SPM | 0.866 | 0.867 | 0.953 | 0.953 | ||||
SPM+AVR | 0.864 | 0.866 | 0.951 | 0.953 | ||||
tSPM | 0.860 | 0.860 | 0.957a | 0.957a | ||||
tSPM+AVR | 0.871a | 0.872a | 0.953 | 0.953 |
AUC: area under the curve; AVR: aggregated vector representation; CAD: coronary artery disease; CHF: congestive heart failure; COPD: chronic obstructive pulmonary disease; NA: we were not able to find AUC ROC in the published literature; RA: rheumatoid arthritis; SPM: sequential pattern mining; T1DM: type 1 diabetes mellitus; T2DM: type 2 diabetes mellitus; tSPM: transitive sequential pattern mining; UC: ulcerative colitis.
Top within-phenotype performance.