A Comparative Study of Machine Learning Algorithms in Predicting Severe Complications after Bariatric Surgery

Background: Severe obesity is a global public health threat of growing proportions. Accurate models to predict severe postoperative complications could be of value in the preoperative assessment of potential candidates for bariatric surgery. So far, traditional statistical methods have failed to pro...

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Detalles Bibliográficos
Autores principales: Cao, Yang, Fang, Xin, Ottosson, Johan, Näslund, Erik, Stenberg, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571760/
https://www.ncbi.nlm.nih.gov/pubmed/31083643
http://dx.doi.org/10.3390/jcm8050668

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571760/
https://www.ncbi.nlm.nih.gov/pubmed/31083643
http://dx.doi.org/10.3390/jcm8050668

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