Hospital readmission prediction

A Data and Knowledge Driven Randomization Technique for Privacy-Preserving Data Enrichment in Hospital Readmission Prediction
In health care predictive analytics, limited data is often a major obstacle for developing highly accurate predictive models. The lack …
Milan Vukićević, Sandro Radovanović, Gregor Štiglic, Boris Delibašić, Sven Van Poucke, Zoran Obradović
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Building interpretable predictive models for pediatric hospital readmission using tree-lasso logistic regression
Quantification and early identification of unplanned readmission risk have the potential to improve the quality of care during …
Miloš Jovanović, Sandro Radovanović, Milan Vukićević, Sven Van Poucke, Milija Suknović
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Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction
Many studies fail to provide models for 30-day hospital re-admission prediction with satisfactory performance due to high …
Sandro Radovanović, Milan Vukićević, Ana Kovačević, Gregor Štiglic, Zoran Obradović
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Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples
In recent years, prediction of 30-day hospital readmission risk received increased interest in the area of Healthcare Predictive …
Milan Vukićević, Sandro Radovanović, Ana Kovačević, Gregor Štiglic, Zoran Obradović
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