Cargando…
An independently validated, portable algorithm for the rapid identification of COPD patients using electronic health records
Electronic health records (EHR) provide an unprecedented opportunity to conduct large, cost-efficient, population-based studies. However, the studies of heterogeneous diseases, such as chronic obstructive pulmonary disease (COPD), often require labor-intensive clinical review and testing, limiting w...
Autores principales: | Chu, Su H., Wan, Emily S., Cho, Michael H., Goryachev, Sergey, Gainer, Vivian, Linneman, James, Scotty, Erica J., Hebbring, Scott J., Murphy, Shawn, Lasky-Su, Jessica, Weiss, Scott T., Smoller, Jordan W., Karlson, Elizabeth |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497529/ https://www.ncbi.nlm.nih.gov/pubmed/34620889 http://dx.doi.org/10.1038/s41598-021-98719-w |
Ejemplares similares
-
QT interval and antidepressant use: a cross sectional study of electronic health records
por: Castro, Victor M, et al.
Publicado: (2013) -
Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts
por: Liao, Katherine P., et al.
Publicado: (2015) -
An eMERGE Clinical Center at Partners Personalized Medicine
por: Smoller, Jordan W., et al.
Publicado: (2016) -
Development of phenotype algorithms using electronic medical records and incorporating natural language processing
por: Liao, Katherine P, et al.
Publicado: (2015) -
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system
por: Zeng, Qing T, et al.
Publicado: (2006)