A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability

ArXi:2605.03832v1 Announce Type: new In recent years, machine learning has made significant progress in clinical outcome prediction, nstrating increasingly accurate results. However, the substantial resources required for hospitals to train these models, such as data collection, labeling, and computational power, limit the feasibility for smaller hospitals to develop their own models. An alternative approach involves transferring a machine learning model trained by a large hospital to smaller hospitals, allowing them to fine-tune the model on their specific patient data.