Proposes a domain incremental continual learning benchmark for ICU time series model transportability across US regions and evaluates data replay and EWC methods.
The eicu collaborative research database, a freely available multi-center database for critical care research
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
NPCNet is a deep clustering model that converts EHR data to pseudo texts and uses a navigator module to align sepsis phenotypes with clinical knowledge.
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A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability
Proposes a domain incremental continual learning benchmark for ICU time series model transportability across US regions and evaluates data replay and EWC methods.
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NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping
NPCNet is a deep clustering model that converts EHR data to pseudo texts and uses a navigator module to align sepsis phenotypes with clinical knowledge.