Leveraging structured and unstructured electronic health record data to detect reasons for suboptimal statin therapy use in patients with atherosclerotic cardiovascular disease

• Autors principals: Glenn T. Gobbel (Autor), Michael E. Matheny (Autor), Ruth R. Reeves (Autor), Julia M. Akeroyd (Autor), Alexander Turchin (Autor), Christie M. Ballantyne (Autor), Laura A. Petersen (Autor), Salim S. Virani (Autor)
• Format: Llibre
• Publicat: Elsevier, 2022-03-01T00:00:00Z.
• Matèries: article
• Accés en línia: Connect to this object online.

Objective: To determine whether natural language processing (NLP) of unstructured medical text can improve identification of ASCVD patients not using high-intensity statin therapy (HIST) due to statin-associated side effects (SASEs) and other reasons. Methods: Reviewers annotated reasons for not pre...