3 papers
cs.LG2024
SeqRisk: Transformer-augmented latent variable model for robust survival prediction with longitudinal data
Mine Öğretir, Miika Koskinen, Juha Sinisalo +2
In healthcare, risk assessment of patient outcomes has been based on survival analysis for a long time, i.e. modeling time-to-event associations. However, conventional approaches r…
cs.LG2023
Estimating treatment effects from single-arm trials via latent-variable modeling
Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho +5
Randomized controlled trials (RCTs) are the accepted standard for treatment effect estimation but they can be infeasible due to ethical reasons and prohibitive costs. Single-arm tr…
cs.IR2023
Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
Abderrahim Oussama Batouche, Eugen Czeizler, Miika Koskinen +2
The presence of detailed clinical information in electronic health record (EHR) systems presents promising prospects for enhancing patient care through automated retrieval techniqu…