Using Natural Language Processing to Identify Different Lens Pathology in Electronic Health Records

Nearly all published ophthalmology-related Big Data studies rely exclusively upon International Classification of Diseases (ICD) billing codes to identify patients with particular ocular conditions. However, inaccurate or non-specific codes may be used. We assessed whether natural language processing (NLP), as an alternative approach, could more accurately identify lens pathology.

Source: American Journal of Ophthalmology - January 29, 2024 Category: Opthalmology Authors: Joshua D. Stein, Yunshu Zhou, Chris A. Andrews, Judy E. Kim, Victoria Addis, Jill Bixler, Nathan Grove, Brian McMillan, Saleha Z. Munir, Suzann Pershing, Jeffrey S. Schultz, Brian C. Stagg, Sophia Y. Wang, Fasika Woreta, SOURCE consortium Tags: Original Articles Source Type: research