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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...
Autores principales: | Schuler, Kyle P., Hemnes, Anna R., Annis, Jeffrey, Farber-Eger, Eric, Lowery, Brandon D., Halliday, Stephen J., Brittain, Evan L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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