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…
stat.ME2016
On the combination of omics data for prediction of binary outcomes
Mar Rodríguez-Girondo, Alexia Kakourou, Perttu Salo +5
Enrichment of predictive models with new biomolecular markers is an important task in high-dimensional omic applications. Increasingly, clinical studies include several sets of suc…
stat.ME2016
Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications
Mar Rodríguez-Girondo, Perttu Salo, Tomasz Burzykowski +3
Enriching existing predictive models with new biomolecular markers is an important task in the new multi-omic era. Clinical studies increasingly include new sets of omic measuremen…