Abstract
Lower extremity peripheral artery disease (PAD) is highly prevalent. Prognostic risk models supported by automated data extraction of electronic health records (EHRs) would be useful for management of PAD patients. The records-linkage system of the Rochester Epidemiology Project was used to
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