Suhan Cui

Orcid: 0009-0005-3932-6993

According to our database1, Suhan Cui authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records.
CoRR, 2024

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions.
CoRR, 2024

2023
Predicting line of therapy transition via similar patient augmentation.
J. Biomed. Informatics, November, 2023

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.
CoRR, 2023

Towards Personalized Federated Learning via Heterogeneous Model Reassembly.
CoRR, 2023

Towards Personalized Federated Learning via Heterogeneous Model Reassembly.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Pretraining on Multimodal Electronic Health Records.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Towards Federated COVID-19 Vaccine Side Effect Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data.
Proceedings of the IEEE International Conference on Data Mining, 2022

AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.
Proceedings of the WWW '21: The Web Conference 2021, 2021

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021


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