Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features

Different studies have demonstrated the importance of comorbidities to better understand the origin and evolution of medical complications. This study focuses on improvement of the predictive model interpretability based on simple logical features representing comorbidities. We use group lasso based...

Descripción completa

Detalles Bibliográficos
Autores principales: Stiglic, Gregor, Povalej Brzan, Petra, Fijacko, Nino, Wang, Fei, Delibasic, Boris, Kalousis, Alexandros, Obradovic, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672891/
https://www.ncbi.nlm.nih.gov/pubmed/26645087
http://dx.doi.org/10.1371/journal.pone.0144439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672891/
https://www.ncbi.nlm.nih.gov/pubmed/26645087
http://dx.doi.org/10.1371/journal.pone.0144439

Ejemplares similares