Table 4.2:

Real data test set accuracy (mean ± std. dev. across 10 experiments).

Model	MIMIC dataset		ADNI dataset
	AUROC	AUPRC	AUROC	AUPRC
Logistic Regression	0.745±0.003	0.499±0.008	0.845±0.006	0.676±0.009
LSTM	0.767±0.003	0.509±0.005	0.947±0.002	0.823±0.005
RETAIN	0.730±0.010	0.431±0.006	0.884±0.012	0.795±0.016
DIPOLE	0.767±0.004	0.453±0.003	0.958±0.006	0.824±0.009
Transformer:BERT	0.769±0.005	0.509±0.003	0.959±0.002	0.922±0.003
AC-TPC	0.703±0.006	0.432±0.007	0.839±0.013	0.681±0.017
T-Phenotype	0.730±0.005	0.451±0.004	0.926±0.034	0.822±0.068
SMD-SSL + SimCLR (Frozen)	0.692±0.002	0.457±0.005	0.803±0.015	0.658±0.009
SMD-SSL + VICReg (Frozen)	0.673±0.001	0.429±0.005	0.819±0.018	0.653±0.009
SMD-SSL + SimCLR (Fine-tune)	0.770±0.006	0.511±0.010	0.966±0.014	0.929±0.010
SMD-SSL + VICReg (Fine-tune)	0.748±0.008	0.499±0.009	0.867±0.012	0.672±0.011
Simple-SCL / Temporal-SCL (PT:✗, NN:✗, TR:✗)	0.753±0.005	0.498±0.003	0.947±0.001	0.894±0.015
Temporal-SCL (PT:✓, NN:✗, TR:✗)	0.752±0.002	0.498±0.001	0.947±0.001	0.894±0.014
Temporal-SCL (PT:✗, NN:✓, TR:✗)	0.770±0.002	0.516±0.003	0.987±0.001	0.899±0.011
Temporal-SCL (PT:✗, NN:✗, TR:✓)	0.766±0.001	0.508±0.002	0.950±0.002	0.785±0.015
Temporal-SCL (PT:✗, NN:✓, TR:✓)	0.754±0.006	0.499±0.003	0.967±0.002	0.900±0.017
Temporal-SCL (PT:✓, NN:✗, TR:✓)	0.767±0.002	0.511±0.002	0.951±0.002	0.762±0.010
Temporal-SCL (PT:✓, NN:✓, TR:✗)	0.770±0.002	0.518±0.003	0.988±0.001	0.903±0.011
Temporal-SCL (Full)	0.773±0.002	0.520±0.003	0.990±0.004	0.936±0.014

PT: Pre-Training, NN: Nearest Neighbor pairing, TR: Temporal Regularization