Accuracy of Veterans Administration databases for a diagnosis of rheumatoid arthritis.
By J. Singh, Aaron R Holmgren, S. Noorbaloochi. 2004
162 citations recorded by the source corpus.
Subfields: Health Information Management, Rehabilitation, Rheumatology
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In Health Information Management
Citations in the corpus
- Natural Language Processing for EHR-Based Computational Phenotyping (2018, neutral): “to accurately infer phenotypes [10], [11].”
- Graph-based signal integration for high-throughput phenotyping (2012, unknown): “Other studies had similar outcomes [5-10].”
- Portability of an algorithm to identify rheumatoid arthritis in electronic health records (2012, methodology): “Finally, we compared the logistic regression model with three simple ICD-9 models, based on the ideas presented in an administration database study.(37) Each of the three methods used a simple threshold assignment: if the patient had greater than or equal to a given number of ICD-9 codes for RA, the”
- Electronic medical records for discovery research in rheumatoid arthritis (2010, unknown): “This degree of accuracy is substantially higher than previous studies that used EMR data (5).”