Using Bayesian Networks to Predict Long-Term Health-Related Quality of Life and Comorbidity after Bariatric Surgery: A Study Based on the Scandinavian Obesity Surgery Registry

Previously published literature has identified a few predictors of health-related quality of life (HRQoL) after bariatric surgery. However, performance of the predictive models was not evaluated rigorously using real world data. To find better methods for predicting prognosis in patients after baria...

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Detalles Bibliográficos
Autores principales: Cao, Yang, Raoof, Mustafa, Szabo, Eva, Ottosson, Johan, Näslund, Ingmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356516/
https://www.ncbi.nlm.nih.gov/pubmed/32560424
http://dx.doi.org/10.3390/jcm9061895

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356516/
https://www.ncbi.nlm.nih.gov/pubmed/32560424
http://dx.doi.org/10.3390/jcm9061895

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