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Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands.

, , , , , , , , , and . Int. J. Medical Informatics, (2022)

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Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care., , and . ICIMTH, volume 289 of Studies in Health Technology and Informatics, page 329-332. IOS Press, (2021)Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU., , , , , and . Comput. Biol. Medicine, (September 2023)A systematic literature review of Linked Data-based recommender systems., , , and . Concurr. Comput. Pract. Exp., 27 (17): 4659-4684 (2015)Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities., , and . CoRR, (2021)Autoencoder-Based Prediction of ICU Clinical Codes., , , and . AIME, volume 13897 of Lecture Notes in Computer Science, page 57-62. Springer, (2023)Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes., , , and . AIME, volume 13897 of Lecture Notes in Computer Science, page 193-198. Springer, (2023)Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift., , and . CoRR, (2020)Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities., , and . Inf. Retr. J., 25 (3): 269-305 (2022)Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands., , , , , , , , , and . Int. J. Medical Informatics, (2022)Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes., , , , , and . Neural Networks, (July 2023)