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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...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2015
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| Soggetti: | |
| Accesso online: | 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 |
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