Graph-based embedding of missing information

Learning balanced representation for causal relationship modeling

Disease detection and counterfactual outcome simulation for treatment effect evaluation

Predictive soft clustering for time series using variational inference of GMM

Continuous phenotyping of clinical deterioration

Embedding space for counterfactual simulation of treatments

Supervised contrastive learning

Deep representation learning for EHR

Prognostic monitoring system for shock in ICU patients

Inference of missing vital sign values using a pre-trained LLM

Lab result embedding based on temporal similarity between observed time and overall time

Deriving feature importance through variable self-attention

Self-supervised foundation model trained on irregular, event-based ICU timep series data

EHR sequence representation via attribute-specific embedding mechanism

Captures both local and global information via dual-attention based Transformer

Robust representation learning from incomplete multimodal clinical data

Cross-modal temporal alignment

Online risk monitoring framework for pulmonary diseases

Physical anaology for representing extrapolation error

Expanded and improved constraint with replay buffer

Contrastive variational autoencoder using orthogonal action space

Clinician-informed RL for shock treatment

Multi-agent RL framework for enhancing clinical stability

Treatment decision system integrating clinical reasoning

Safe reinforcement learning

Multi-agent deep reinforcement learning

Identifying high risk states and management of nephrotoxic drugs

Deep reinforcement learning

Multimodal data integration

Medication recommendation for Parkinsons' disease

Time series anomaly detection

Early warning system for clinical deterioration

Detection of unexpected ICU admissions from ED