Co-occurring keywords · papers mentioning both
Papers
ARMR: Adaptively Responsive Network for Medication Recommendation
IJCAI 2025
DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis
IJCAI 2025
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
ICLR 2025
SSPNet: Leveraging Robust Medication Recommendation with History and Knowledge
IJCAI 2025
Attention boosted Individualized Regression
NeurIPS 2024
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments
NeurIPS 2024
PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision
NeurIPS 2024
Personalized Heart Disease Detection via ECG Digital Twin Generation
IJCAI 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes
AISTATS 2024
Stage-Aware Learning for Dynamic Treatments
JMLR 2024
REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling
NeurIPS 2023
Reliable Off-Policy Learning for Dosage Combinations
NeurIPS 2023
Zero-shot causal learning
NeurIPS 2023
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
NeurIPS 2022
Causes of Effects: Learning Individual Responses from Population Data
IJCAI 2022
Interpretable Off-Policy Learning via Hyperbox Search
ICML 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine
MLHC 2022
Learning to Rank Articles for Molecular Queries
AAAI 2022
Policy Learning for Optimal Individualized Dose Intervals
AISTATS 2022
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
AAAI 2020
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach
ICML 2020
Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network
IJCAI 2020
Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations
MIDL 2019
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding
AAAI 2019
Dynamically Personalized Detection of Hemorrhage
MLHC 2019