Table 3.

Rules learned on the whole training set using 14 variables.

Method	Number of Rules Learned	Variables Used
Unaugmented model (14 variables)	7	EF, IVSd z-score (2)
Mean imputation (14 variables)	15	IVSd z-score, LVIDd z-score, LV mass z-score, BSA (4)
Decision tree imputation (14 variables)	183	IVSd z-score, LVIDd z-score, LVIDs z-score, LV mass z-score, EF, EDV index, SV index, MV E/A, Ao max PG (9)
k-NN imputation (14 variables)	15	IVSd z-score, LVIDd z-score, LV mass z-score, BSA (4)
SOM imputation (14 variables)	15	IVSd z-score, LVIDd z-score, LV mass z-score, BSA (4)
Mean imputation (27 variables)	43	IVSd z-score, LVPWd z-score, LVIDs z-score, MV A max, LV mass z-score, SV index, FS, TV A max, TV E max, height (10)
Decision tree imputation (27 variables)	255	Ao V2 max, EF, EDV index, FS, MV A max, PA V2 max, TR max vel, TV E/A, SV index, IVSd z-score, height, weight (12)
k-NN imputation (27 variables)	35	IVSd z-score, LV mass z-score, SV index, LVIDs z-score, MV A max, TV A max, TV E max, height (8)
SOM imputation (27 variables)	27	IVSd z-score, LV mass z-score, SV index, Ao root diam, LVIDs z-score, TV A max, TV E max, height (8)