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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:PLoS One
Päätekijät: Stiglic, Gregor, Povalej Brzan, Petra, Fijacko, Nino, Wang, Fei, Delibasic, Boris, Kalousis, Alexandros, Obradovic, Zoran
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Public Library of Science 2015
Aiheet:
Research Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4672891/
https://ncbi.nlm.nih.gov/pubmed/26645087
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0144439
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia