The Feasibility of Using Large‐Scale Text Mining to Detect Adverse Childhood Experiences in a VA‐Treated Population

Hammond, Kenric W.; Ben‐Ari, Alon Y.; Laundry, Ryan J.; Boyko, Edward J.; Samore, Matthew H.

doi:10.1002/jts.22058

The Feasibility of Using Large‐Scale Text Mining to Detect Adverse Childhood Experiences in a VA‐Treated Population

Free text in electronic health records resists large-scale analysis. Text records facts of interest not found in encoded data, and text mining enables their retrieval and quantification. The U.S. Department of Veterans Affairs (VA) clinical data repository affords an opportunity to apply text-min…