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TSI-GNN: Extending Graph Neural Networks to Handle Missing Data in Temporal Settings.

, , , , and . Frontiers Big Data, (2021)

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Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network., , , and . Artif. Intell. Medicine, (2016)Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before Onset., , , , , , and . CoRR, (2023)Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models., , , and . AMIA, AMIA, (2018)A Bayesian model for estimating multi-state disease progression., , , , , , and . Comput. Biol. Medicine, (2017)Autopopulus: A Novel Framework for Autoencoder Imputation on Large Clinical Datasets., , , , , , , and . EMBC, page 2303-2309. IEEE, (2021)A Web-based Platform for Evaluating and Disseminating Predictive Models., , , , and . CRI, AMIA, (2017)Optimizing cancer screening with POMDPs.. University of California, Los Angeles, USA, (2019)base-search.net (ftcdlib:qt0cz63433).Towards a framework for interoperability and reproducibility of predictive models., , , , , , and . J. Biomed. Informatics, (January 2024)Generating Reward Functions Using IRL Towards Individualized Cancer Screening., , , and . AIH@IJCAI (Revised Selected Papers), volume 11326 of Lecture Notes in Computer Science, page 213-227. Springer, (2018)Using Sequential Decision Making to Improve Lung Cancer Screening Performance., , , , , and . IEEE Access, (2019)