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MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data.

, , , , , and . ICDM, page 81-90. IEEE, (2022)

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AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records., , , , and . BIBM, page 948-953. IEEE, (2022)Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records., and . CoRR, (2024)MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data., , , , , and . ICDM, page 81-90. IEEE, (2022)Towards Federated COVID-19 Vaccine Side Effect Prediction., , , , and . ECML/PKDD (6), volume 13718 of Lecture Notes in Computer Science, page 437-452. Springer, (2022)MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation., , , , , , , , , and . CoRR, (2023)Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions., , , , , and . CoRR, (2024)Predicting line of therapy transition via similar patient augmentation., , , , , and . J. Biomed. Informatics, (November 2023)MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths., , , , , and . WWW, page 1397-1409. ACM / IW3C2, (2021)Towards Personalized Federated Learning via Heterogeneous Model Reassembly., , , , , , and . CoRR, (2023)MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text., , , , , and . CIKM, page 2414-2423. ACM, (2021)