Entity embedding of high-dimensional claims data for hospitalized exacerbation prediction
Talk, European Workshop on Econometrics and Health Economics, Rotterdam, the Netherlands
Talks and presentations
Optimal policy design for efficient diagnostic paths: Applicability of policy learners for coronary heart disease using high-dimensional claims data
Talk, EuHEA, Vienna, Austria
Finding critical PROM-values for physician visits post knee replacement surgeries trough machine-learning approaches and its effects on equity
Talk, DGGÖ, Halle (Saale), Germany
Do You Really Need to See the Doctor? Developing a Machine Learning Approach for Optimal Assignment Rules of Physician Visits for Patients After Knee Replacement
Talk, ISPOR Europe, Copenhagen, Denmark
Is rapid recovery always the best recovery? - Developing a machine learning approach for optimal assignment rules under capacity constraints for knee replacement patients
Talk, European Workshop on Econometrics and Health Economics, Madrid, Spain
Welfare effects of optimal assignment rules for recovery paths under capacity constraints for patients undergoing hip and knee replacements
Talk, DGGÖ, Hannover, Germany
The importance of oversampling for predicting mortality: Machine learning versus regression modelling
Talk, EUHEA Early Career Conference, Galway, Ireland