Figure 4.

Overview of workflow. A, The overview of our experimental pipeline from preprocessing to prediction. Raw EHR data is first processed into Uniform Feature Matrix (UFM), where key features such as hourly averaged vital signs, ICD-9 group codes and lab values are extracted per patient and aligned. Labels for each task is then extracted for each relevant patient. Additional preprocessing is performed for different features (eg embedding, described below). Once features are normalized and aligned, prediction is performed for each task. B Uniform Feature Matrix (UFM) used for prediction. The “prediction window” refers to the elapsed time between data used for feature construction and the event of prediction (eg 30 days postdischarge in readmission).