NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping

ArXi:2602.03562v2 Announce Type: replace Electronic Health Records (EHRs) provide high-dimensional temporal data essential for patient modeling; however, conventional algorithmic approaches often rely on data aggregation or imputation, which distorts temporal disease trajectories. Such computational limitations are particularly critical in sepsis, a heterogeneous syndrome where clustering-based stratification plays a key role in identifying clinically distinct phenotypes for precise treatment strategies.