Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features
نویسندگان
چکیده
منابع مشابه
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 feature interaction discovery followed by a post-processing step, where simple logic terms are a...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0144439