Objective: To develop a valid algorithm for identifying multiple sclerosis (MS) cases in administrative health claims (AHC) datasets. Methods: We used 4 AHC datasets from the Veterans Administration
Lyme disease case-finding algorithms used with the US administrative healthcare claims data identified in the articles published in English since 2000.
