Multisite learning of high-dimensional heterogeneous data with applications to opioid use disorder study of 15,000 patients across 5 clinical sites

Keyphrases

• Heterogeneous Data 100%
• Opioid Use Disorder 100%
• Multi-site Learning 100%
• Clinical Site 100%
• Risk Factors 50%
• Patient Data 50%
• Regression Model 50%
• Statistical Methods 50%
• Model Fitting 50%
• Research Consortium 50%
• First-order 50%
• Clinical Research 50%
• Learning Improvement 50%
• Data Integration 50%
• Estimation Accuracy 50%
• Real-world Application 50%
• Patient-level Data 50%
• Multiple Datasets 50%
• Learning Efficiency 50%
• Covariate Distribution 50%
• Distributed Algorithms 50%
• Pooled Estimator 50%
• Protecting Privacy 50%
• Surrogate Objective Function 50%
• Second Order Gradients 50%

Computer Science

• Objective Function 100%
• Heterogeneous Data 100%
• Feature Selection 50%
• Regularization 50%
• Protecting Privacy 50%
• Integrate Data 50%
• Summary Statistic 50%
• Integrating Data 50%
• World Application 50%
• Order Gradient 50%
• Estimation Accuracy 50%
• Distributed Algorithm 50%

Mathematics

• Objective Function 100%
• Covariate 50%
• Regularization 50%
• Patient Data 50%
• Summary Statistic 50%
• Regression Model 50%
• Pooled Estimator 50%