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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Xehetasun bibliografikoak
Argitaratua izan da:AMIA Annu Symp Proc
Egile Nagusiak: Dagliati, Arianna, Malovini, Alberto, Decata, Pasquale, Cogni, Giulia, Teliti, Marsida, Sacchi, Lucia, Cerra, Carlo, Chiovato, Luca, Bellazzi, Riccardo
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: American Medical Informatics Association 2017
Gaiak:
Articles
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC5333278/
https://ncbi.nlm.nih.gov/pubmed/28269842
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