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Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks.

, , , , , , , and . IEEE J. Biomed. Health Informatics, 27 (4): 2071-2082 (April 2023)

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Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission., , , , , , , and . CoRR, (2022)Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models., , , , , , and . CHIL, volume 209 of Proceedings of Machine Learning Research, page 50-71. PMLR, (2023)Spatiotemporal Feature Learning for Event-Based Vision., , , , and . CoRR, (2019)Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM., , , , and . ICANN (2), volume 9887 of Lecture Notes in Computer Science, page 455-462. Springer, (2016)Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset., , , , , , and . CoRR, (2020)Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models., , , , , and . CoRR, (2022)Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction., , , , , , , , , and . NER, page 1-4. IEEE, (2023)Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction., , , , , , , , , and . AMIA, AMIA, (2022)Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset., , , , , and . J. Biomed. Informatics, (2021)Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis., , , , , , , and . ICLR, OpenReview.net, (2022)