We conducted evaluations using the MIMIC II data (5). We used ECG and respiratory rate as input vitals in an attempt to predict heart failure alarms. The results shown in Table 1 were obtained per-patient, by subsampling, using data from the patients held out of the training set. The proposed approach brings the AUC metric (area under the receiver operating characteristic diagram) to 0.66 on average, the patient-specific model offers an improvement, and the inclusion of treatment information provides further benefits.