Spirometry evaluation to assess performance of a claims-based predictive model identifying patients with undiagnosed COPD

Spirometry evaluation to assess performance of a claims-based predictive model identifying patients with undiagnosed COPD

Chad Moretz,1 Srinivas Annavarapu,1 Rakesh Luthra,2 Seth Goldfarb,1 Andrew Renda,3 Asif Shaikh,2 Shuchita Kaila2 1Comprehensive Health Insights, Louisville, KY, USA; 2Boehringer Ingelheim, Ridgefield, CT, USA; 3Humana Inc., Louisville, KY, USA Background: A claims-based model to predict patients l...

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Bibliographic Details
Main Authors: Moretz C, Annavarapu S, Luthra R, Goldfarb S, Renda A, Shaikh A, Kaila S
Format: Article
Language:English
Published: Dove Medical Press 2019-02-01
Series:International Journal of COPD
Subjects:
COPD
exacerbation
predictive model
clinical validation
prevention
Online Access:https://www.dovepress.com/spirometry-evaluation-to-assess-performance-of-a-claims-based-predicti-peer-reviewed-article-COPD

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https://www.dovepress.com/spirometry-evaluation-to-assess-performance-of-a-claims-based-predicti-peer-reviewed-article-COPD

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