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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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| Publicado no: | J Clin Med |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6571760/ https://ncbi.nlm.nih.gov/pubmed/31083643 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm8050668 |
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