1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
Hans Moen, Vishnu Raj, Andrius Vabalas +4
Health registers contain rich information about individuals' health histories. Here our interest lies in understanding how individuals' health trajectories evolve in a nationwide l…
cs.LG2023
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal Mechanisms
Sophie Wharrie, Lisa Eick, Lotta Mäkinen +3
Machine learning strategies like multi-task learning, meta-learning, and transfer learning enable efficient adaptation of machine learning models to specific applications in health…
stat.AP2023★ 1 cited
Characterizing personalized effects of family information on disease risk using graph representation learning
Sophie Wharrie, Zhiyu Yang, Andrea Ganna +1
Family history is considered a risk factor for many diseases because it implicitly captures shared genetic, environmental and lifestyle factors. Finland's nationwide electronic hea…