Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms
Author:
Funder
NIAMS/NIH
NICHD/NIH
NCRR/NIH UL1
NCATS/NIH
NCATS CTSA
NLM
NCATS
K24
R01
NHGRI/NIH
Publisher
Elsevier BV
Subject
Anesthesiology and Pain Medicine,Rheumatology
Reference21 articles.
1. A systematic review of validated methods for identifying systemic lupus erythematosus (SLE) using administrative or claims data;Moores;Vaccine,2013
2. The accuracy of administrative data diagnoses of systemic autoimmune rheumatic diseases;Bernatsky;J Rheumatol,2011
3. Developing electronic health record algorithms that accurately identify patients with systemic lupus erythematosus;Barnado;Arthritis Care Res,2017
4. Portability of an algorithm to identify rheumatoid arthritis in electronic health records;Carroll;J Am Med Inform Assoc,2012
5. Development of phenotype algorithms using electronic medical records and incorporating natural language processing;Liao;BMJ,2015
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