Worsening HF Events	AUC	Precision	Recall
Deep Learning Models (no buffer window)
Using Small Embedding (Age ≥ 18)	0.967	0.884	0.985
Using Big Embedding (Age ≥ 18)	0.972	0.903	0.984
Using Small Embedding (18 ≤ Age < 65)	0.962	0.907	0.961
Using Big Embedding (18 ≤ Age < 65)	0.943	0.861	0.943
Deep Learning Models (7-day buffer window)
Using Small Embedding (Age ≥ 18)	0.594	0.438	0.563
Using Big Embedding (Age ≥ 18)	0.608	0.443	0.565
Using Small Embedding (18 ≤ Age < 65)	0.616	0.446	0.500
Using Big Embedding (18 ≤ Age < 65)	0.595	0.416	0.460
Traditional Machine Learning Models (Age ≥ 18)
Logistic Regression	0.555	0.582	0.166
Random Forest	0.555	0.570	0.171
XGBoost	0.552	0.590	0.156