Natural language processing-driven state machines to extract social factors from unstructured clinical documentation.
This study sought to create natural language processing algorithms to extract the presence of social factors from clinical text in 3 areas: (1) housing, (2) financial, and (3) unemployment. For generalizability, finalized models were validated on data from a separate health system for generalizability.
Author(s): Allen, Katie S, Hood, Dan R, Cummins, Jonathan, Kasturi, Suranga, Mendonca, Eneida A, Vest, Joshua R
DOI: 10.1093/jamiaopen/ooad024