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Table 1 Target periods and value expressions of each data type

From: A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data

Data Type Data Source Target periods Value expression
Demographics EDW Patient-level, no applicable target period Binary (0 or 1); Continuous/discrete value
Admissions EDW Admission date to discharge date Continuous/discrete value
Diagnoses EDW 2 years pre-discharge date to discharge date Binary of occurrence in the target period
Labs EDW Admission date to 1 week after admission date; 1 week before discharge date to discharge date Number of occurrences in the target period a
Medications EDW/RPDR Admission date to discharge date Number of occurrences in the target period
Procedures EDW Admission date to discharge date Number of occurrences in the target period
Notes RPDR Admission date to discharge date b Binary of occurrence in the target period c
  1. a abnormal occurrences, b except Social History = penultimate to admission date, c except Allergies = number of occurrences in the target period