Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
利用信息性缺失学习多模态临床时间序列的动态表征与策略
Multimodal clinical records contain structured measurements and clinical notes recorded over time, offering rich temporal information about the evolution of patient health. Yet these observations are sparse, and whether they are recorded depends on the patient's latent condition. Observation patterns also differ across modalities, as structured measurements and clinical notes arise under distinct recording processes. While prior work has developed methods that accommodate…