Natural language processing to identify lupus nephritis phenotype in electronic health records.

ABSTRACT:

Background

Systemic lupus erythematosus (SLE) is a rare autoimmune disorder characterized by an unpredictable course of flares and remission with diverse manifestations. Lupus nephritis, one of the major disease manifestations of SLE for organ damage and mortality, is a key component of lupus classification criteria. Accurately identifying lupus nephritis in electronic health records (EHRs) would therefore benefit large cohort observational studies and clinical trials where characterization of the patient population is critical for recruitment, study design, and analysis. Lupus nephritis can be recognized through procedure codes and structured data, such as laboratory tests. However, other critical information documenting lupus nephritis, such as histologic reports from kidney biop

SUBMITTER: Deng Y 

PROVIDER: S-EPMC10910523 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature