Discriminative classification Logistic regression(LR Clinical data Support vector machine(SVM Data preprocessing Use max, min, and avg of each bucket and each vital sign as the Temporal Bucketing input features. ( 400 features in total) Classification Algo Use the training data to learn the model parameters Output Model, ThresholdDiscriminative Classification Clinical data Data preprocessing Classification Algo. Output Model, Threshold • Logistic regression (LR) • Support vector machine (SVM) • Use max, min, and avg of each bucket and each vital sign as the input features. (~ 400 features in total) • Use the training data to learn the model parameters. Temporal Bucketing