Impact of Integrating Machine Learning in Comparative Effectiveness Research of Oral Anticoagulants in Patients with Atrial Fibrillation

We aimed to compare the ability to balance baseline covariates and explore the impact of residual confounding between conventional and machine learning approaches to derive propensity scores (PS). The Health Insurance Review and Assessment Service database (January 2012–September 2019) was used. Pat...

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Detalles Bibliográficos
Autores principales: Han, Sola, Suh, Hae Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566283/
https://www.ncbi.nlm.nih.gov/pubmed/36232216
http://dx.doi.org/10.3390/ijerph191912916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566283/
https://www.ncbi.nlm.nih.gov/pubmed/36232216
http://dx.doi.org/10.3390/ijerph191912916

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