An algorithm to identify cases of pulmonary arterial hypertension from the electronic medical record

BACKGROUND: Study of pulmonary arterial hypertension (PAH) in claims-based (CB) cohorts may facilitate understanding of disease epidemiology, however previous CB algorithms to identify PAH have had limited test characteristics. We hypothesized that machine learning algorithms (MLA) could accurately...

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Detalles Bibliográficos
Autores principales: Schuler, Kyle P., Hemnes, Anna R., Annis, Jeffrey, Farber-Eger, Eric, Lowery, Brandon D., Halliday, Stephen J., Brittain, Evan L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145474/
https://www.ncbi.nlm.nih.gov/pubmed/35643554
http://dx.doi.org/10.1186/s12931-022-02055-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145474/
https://www.ncbi.nlm.nih.gov/pubmed/35643554
http://dx.doi.org/10.1186/s12931-022-02055-0

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