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

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

Abstract 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 acc...

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Bibliographic Details
Main Authors: Kyle P. Schuler, Anna R. Hemnes, Jeffrey Annis, Eric Farber-Eger, Brandon D. Lowery, Stephen J. Halliday, Evan L. Brittain
Format: Article
Language:English
Published: BMC 2022-05-01
Series:Respiratory Research
Subjects:
Pulmonary hypertension
Machine learning
Algorithm
Online Access:https://doi.org/10.1186/s12931-022-02055-0

Internet

https://doi.org/10.1186/s12931-022-02055-0

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