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Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients
In this work we present our efforts in building a model able to forecast patients’ changes in clinical conditions when repeated measurements are available. In this case the available risk calculators are typically not applicable. We propose a Hierarchical Bayesian Logistic Regression model, which al...
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| Publicado no: | AMIA Annu Symp Proc |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5333278/ https://ncbi.nlm.nih.gov/pubmed/28269842 |
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