Model-Based Algorithms for Detecting Peripheral Artery Disease Using Administrative Data From an Electronic Health Record Data System: Algorithm Development Study

BACKGROUND: Peripheral artery disease (PAD) affects 8 to 10 million Americans, who face significantly elevated risks of both mortality and major limb events such as amputation. Unfortunately, PAD is relatively underdiagnosed, undertreated, and underresearched, leading to wide variations in treatment...

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Detalles Bibliográficos
Autores principales: Weissler, Elizabeth Hope, Lippmann, Steven J, Smerek, Michelle M, Ward, Rachael A, Kansal, Aman, Brock, Adam, Sullivan, Robert C, Long, Chandler, Patel, Manesh R, Greiner, Melissa A, Hardy, N Chantelle, Curtis, Lesley H, Jones, W Schuyler
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7468640/
https://www.ncbi.nlm.nih.gov/pubmed/32663152
http://dx.doi.org/10.2196/18542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7468640/
https://www.ncbi.nlm.nih.gov/pubmed/32663152
http://dx.doi.org/10.2196/18542

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