Claims‐Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine‐Learning Approaches

BACKGROUND: Real‐world healthcare data are an important resource for epidemiologic research. However, accurate identification of patient cohorts—a crucial first step underpinning the validity of research results—remains a challenge. We developed and evaluated claims‐based case ascertainment algorith...

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Detalles Bibliográficos
Autores principales: Ong, Mei‐Sing, Klann, Jeffrey G., Lin, Kueiyu Joshua, Maron, Bradley A., Murphy, Shawn N., Natter, Marc D., Mandl, Kenneth D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792386/
https://www.ncbi.nlm.nih.gov/pubmed/32990147
http://dx.doi.org/10.1161/JAHA.120.016648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792386/
https://www.ncbi.nlm.nih.gov/pubmed/32990147
http://dx.doi.org/10.1161/JAHA.120.016648

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