Figure 1

Overview of case identification and algorithm development. Individual level data were derived from an EHR comprising 2.7 million records. The machine learning algorithm was trained and tested on manually adjudicated sets of HF cases and non-cases. The final algorithm was deployed in an Implementation set to identify HF cases across the EHR. Performance measures for the HF classifier is shown for the Testing Set.