Presentations from morning session
SWE-REG Spring meeting 2021
Statistical model – the three cultures – Adel Daoud, Institute for Analytical Sociology, Linköping University & Department of Sociology, University of Gothenburg
Improving machine learning 30-day mortality prediction by discounting surprising deaths – Adam Hulman, Steno Diabetes Center Aarhus, Aarhus University Hospital
Fast estimation of random effect models using quasi-Newton methods with variational approximations – Benjamin Christoffersen, RBR, Karolinska Institutet
Rapid rule out of heart attacks in the emergency department using machine learning – Anders Björkelund, Department of Astronomy and Theoretical Physics, Lund University
A Bayesian Network analysis of the interaction between smoking social class in relation to risk of asthma and respiratory outcomes in adults– Rani Basna, Krefting Research Centre, University of Gothenburg
Demonstrating the benefits of transfer learning when grading diabetic retinopathy in fundus photographs with deep learning – Ellen Tolestam Heyman, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University
Supervised machine learning and population register data in studying predictors for long-term unemployment in early adulthood – Sanni Kuikka, Department of Sociology, Stockholm University & Institute for Analytical Sociology, Linköping University