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. Author manuscript; available in PMC: 2011 Jun 23.
Published in final edited form as: Arthritis Care Res (Hoboken). 2010 Aug;62(8):1120–1127. doi: 10.1002/acr.20184

Figure 1.

Figure 1

Overview of approach for classifying RA subjects in the electronic medical record (EMR). Subjects were selected from the EMR with ≥1 ICD9 RA code or had anti-CCP checked to create the RA Mart. 500 subjects were randomly selected from the RA Mart to undergo medical record review to establish a training set. This training set of RA and non-RA cases was used to develop and train the classification algorithm. The classification algorithm was applied to the entire RA Mart to determine predicted RA cases. 400 subjects were randomly selected from the predicted RA cases to undergo medical record review to determine the PPV of the algorithm (validation set). 279×89mm (96 × 96 DPI)